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Home » Management » Management Information System

How to Manage Information

By Dinesh Thakur

Information in an organization can be managed if the data that the organization generates by interacting regularly with its internal employees and external customers is managed. If the data about the transactions that the organization enters into with other entities is managed then information can also be managed to a large extent as most information is generated from the background transaction level data within the organization. Some information however, is dependent on external data that is not available within the organization.

However, this portion is very small. Hence to manage information, first we have to manage the data that is generated within the organization. By management of data we mean managing the generation process, storage process, analysis process and retrieval process and dissemination process of the data (transaction level) of the organization. This means that all transaction level data of the organization has to be generated, stored and analyzed so that it can be retrieved and disseminated. In manual systems this is done by maintaining files of all transactions and then processing the data within the files to generate information.

This requires time as processing data manually is a time consuming process. However, in today’s modern business environment, we do not have the luxury of wasting time and hence information systems are developed on information technology platforms so that the data generation, storage, processing, retrieval and dissemination can be automated and done at a much faster rate. Thus data (transaction level) is stored and captured in transaction processing systems, which forms the backbone of any management information system. These transaction level data is then processed to provide management with meaningful information.

We can see that information is therefore managed within the organization by capturing the data where it is generated, i.e. at the transaction stage and then processing that transaction level data to provide meaningful information to management at different levels. Since a system based approach and that too on a high technology platform is used for this entire process of data capture, storage, processing/analyzing, retrieval and dissemination, information is managed properly and its (good quality) repeatability is ensured. Thus, we see that in modern organizations, information is managed in a systems based approach using technology intervention as a tool for bringing in efficiency in the process. Such systems that manage information and help management in their tasks are called management information systems.




The Need for Information Management

By Dinesh Thakur

Every manager today has to manage loads of information; some for the purpose of reporting and some for taking actionable decisions. The competitive environment that exists in today’s time makes this task of management even more challenging. Today’s managers have to work in an increasingly competitive globalize environment, in which the cost of a faulty decision in quite high. Hence, they rely more and more on data driven decision-making techniques rather than ‘gut feeling’. The focus is very much on gaining understanding about an issue before jumping to take a decision. MIS fills this gap.

It informs the managers about the issue so that they may take better decisions. Managers today, need real time information on a variety of issues ranging from the market to the competitors to production, etc., so that they can play their cards better in the market. Decisions have to be taken very fast and after analyzing a lot of data. Information is required for taking decisions and hence to deliver information fast and to ensure accurate analysis, information has to be managed. Information management is therefore a necessity in modern businesses. Information management however, is not done in an ad hoc fashion but in a systematic manner so that repeatability of information supply can be ensured. Information management primarily involves the following activities so that information is:

  • Gathered from different locations and sources
  • Stored in one or more locations in a predefined format
  • Analyzed in several methods
  • Retrieved as required
  • Disseminated as required
  •                      Information Management and Its Activities

Mechanisms are therefore required to ensure the above functions. In most cases, systems are developed to perform the above tasks and the system (collectively when they help management in its tasks) is called management information system.

Information management or management information system is only useful if it can supply information to management in timely and accurate manner. It is precisely due to these reasons4 that more and more Information Technology (IT) intervention is being used in modern information management. However, information management using information technology has itself transformed dramatically over the years. Information management and information technology go hand in hand because without information technology, information management would not be able to fulfill the two most important criteria of modern competitive management, i.e., speedy information supply and accurate information supply to management for decision-making. The modern market condition is such that use of IT has become inevitable in the field of IM. From being just a support function, it has become a key resource for gaining competitive advantage.

More and more corporations are investing in acquiring the latest Management Information System tools, like Enterprise (wide) Resource Planning (ERP), Customer Relationship Management (CRM), Knowledge Management (KM), Decision Support System (DSS), Business Intelligence (BI) suites, Data Warehouse (DW) facility as they are convinced of the benefits of such huge investments.

In order to understand the information management concepts, we have to first understand the systems concepts as information management cannot function in isolation. It has to function with systems. It is therefore necessary to understand the systems concepts to fully understand the information management concepts.




The Concept of Information as a Resource

By Dinesh Thakur

In earlier times, the main levels of business capability and change were strategy, structure, processes and people but in today’s time another level has been added to the four that already exist. This invisible asset works as a key resource for the organization.

In today’s competitive business environment the key differentiator is the way organizations leverage the power of information. Material resources, human resources, monetary resources can only be utilized to the full if information is managed. Business organizations have therefore started looking at MIS beyond just as a support function. Information is now being used to provide insights to decision-makers so that better and informed decisions can be taken. Entire subject areas like data mining, data warehousing and business intelligence have been developed on this premise of information as a resource. More and more organizations are now digging into their own data to make predictions about the future. Decision-making techniques have vastly evolved as well and rely more on analytics for support rather than just judgment and experience as was the case in the past. Today the modern manager has the luxury of scenario analysis, what if analysis, business dashboard, etc., to visualize the effects of his decisions on the various simulated scenarios. Scenarios can now be built so that managers not only have a single plan of action but multiple plans to suit multiple other likely scenarios. This has helped to reduce uncertainty and therefore improve the bottom line.

Some important concepts need to be defined here before we move forward. Concepts like information, management, information systems and information technology are used often to describe information related concepts and issues used in an organization. They are defined below:

Information Management is a business and process driven concept in which the focus is on leveraging information for using it to take decisions, on the quality of such information that is provided and the integrity of the information. it is the scientific organization of data (by capturing storing, analyzing, retrieving and disseminating) and information for use within an organization.

Information system it is systems based concept that focuses on transactions, events and data. It is the systematic process involving information gathering, storing, processing, retrieving and disseminating, which ensures repeatability of good quality information’ supply within an organization.

Information technology is the broad set of technologies/technology disciplines like computer science and engineering, telecommunication, electronics, etc., which aid in information management.




Role of Information in Decision-making

By Dinesh Thakur

Information plays a vital role in decision-making. Even to take very simple decisions, we need information. To understand the role played by information in decision-making, we have to understand how decisions are taken. Decision-making is basically a process that includes the following stages:

Information is thus, very important to take decisions.

Imagine a simple decision like the one a driver (say) makes when he puts on the brakes to stop a speeding vehicle when he sees a child crossing the road (in middle of the road). The driver decides on braking based on a lot of information processing that happens in his brain. At every stage of the decision-making he uses information that he captures visually. All decisions are like this.

First we get information about a problem, format it into a structure and then factor in the information about the context in which the problem has occurred. Like in the above case instead of the child being at the middle of the road and crossing it, the driver would have seen the child about to cross over with a few steps only he would probably not have braked to stop but would have slowed down, as he would have calculated that by the time the vehicle reaches the crossing stage, the child would already have passed. So if the problem was structured as ‘how to not hit the child crossing the road?’, and if the child was at the middle of the road, the driver would have braked but had the child been at (say) at ninety per cent completion level of crossing the road, the driver would have only slowed down and not braked to stop. Therefore, we see that the context has a major role in the decision-making and information is required both about the problem and about the context in which the problem occurred. The next stage for the decision maker would be to generate alternatives. In the driver’s case such possible alternatives would be

 

Stages of Decision-making

Role of Information

Identification and structuring of

problem/opportunity

One needs information to identify a problem and put it in a structured manner. Without information about a problem or opportunity, the decision-making process does not even start.

Putting the problem/

opportunity in context

Without information about the context in which the problem has occurred, one cannot take any decision on it. In a way, the .information about the context defines the problem.

Generation of alternatives

Information is a key ingredient in the generation of alternatives for decision-making. One has to have information about possible solutions to generate alternatives.

Choice of best alternative

Based on the information about the suitability of the alternatives, a choice is made to select the best alternative.

  1. to stop by braking
  2. to slow down
  3. to take a sharp turn towards left or right to avoid the child
  4. press the horn so that the child crosses the road fast
  5. To drive the vehicle on to the footpath and out of the road to avoid collision, etc.

So the decision-maker generates these possible solutions to the problem at hand based on information about such possible solutions. Each of the alternatives represents a possible solution, which one can generate if one has information about them. In the case of the driver, obviously, he needs knowledge and information to generate these alternatives, i.e., to stop by breaking the driver would need to know that braking stops the vehicle. If he is unaware of this crucial information he would not have been able to generate this alternative. So information is vital for generation of alternatives. Now for the choice part also, the decision maker needs to have information about the suitability of each alternative to decide, which the ‘best’ is. In our example, the driver calculates the ‘payoff’ for each alternative based on his calculation of the outcome that again is based on information. He selects the ‘best’ option that solves the problem. Thus, we can see that information is the key to the decision making process, without information and the right kind of information decision-making is not possible. Information plays a crucial role in every stage of the decision-making process.

Decision-making is the most important task of managers in an organization. Therefore, to enable managers to take good quality decisions, it is very important to provide them with the right kind of information. Information management in organizations therefore assumes a special significance. In most organizations, business or otherwise, a systematic systems based method is used for information management. Systems based information management works best under a computerized environment and such computer based information management system is normally called ‘Management Information Systems (MIS)’, which provides the service of information supply to the managers enabling them to take informed decisions. It may be worthwhile to mention here that MIS does not necessitates the use of computer based technology, but the use of computers and information technology makes MIS suitable for business organizations in a competitive environment as it helps to provide timely and accurate information. MIS done manually, without the help of computers is neither timely nor accurate.




Business Value of Information in Management Information Systems

By Dinesh Thakur

From a managerial context the value of information is judged on the basis of the following parameters:

Timeliness

Information is only valuable to management when it can result in some timely intervention/decision. The time aspect of decision is very vital for any value to be attributed to it in management. Information of an event will only be valuable to managers if they have time to react to it. If the reaction time is not there then the information loses its managerial value.

Presentation

Managerial information is valuable when presented in a way that facilitates decision-making. Information should not only be given but presented in such a way that the decision-making aspect becomes obvious.

Accuracy

Any information to management is valueless unless accurate.

Context

Information for management is highly contextual. Information is valuable to a manger only if it has a decision-making connotation to it. For example, for a finance manager any information about the competitor’s product is valueless.

Expectation

Information is generally more valuable to management when the information breaks an expected view or an expected result or an expected’ reaction. Any information that is unexpected carries a higher value. For example, if a manager has made a marketing strategy expecting his competitor to launch a product A and before the launch he gets information that the product to be launched by his competitor is not product A but product S, then this information has got greater value for him as it is contrary to his expectation.

                    Business Value of Information




Management with Information – What is Information Management?

By Dinesh Thakur

Management is the invisible force that keeps an organization going by continuously performing the tasks of planning, organizing, controlling and leading. Management plans for the goals and objectives of the organization, organizes men, materials, technology, money and other resources to enable the organization to attain the set goals and objectives, controls activities to ensure that everything goes according to plan and that there is no deviation from it and leads the organization to attain greater achievements. Without management, an organization cannot survive. The issue of management is therefore most important for any organization, business or otherwise.

Management in business organizations has traditionally always focused on the four levels of business change and success namely, business strategy, organization structure, business processes and people. However, a fifth level has now been added to the existing four information levels. Information has not only become an additional lever for change and success of a business organization, but has become the most important key asset for it. The reason for the emergence of the importance of information in management is the positive role it plays in improving the quality of decision-making. Information helps the management in conducting its tasks efficiently and helps in decision-making, thereby making it an important asset. Also, unlike any other resource information resource cannot be duplicated by competitors as information is proprietary to an organization and hence competitive advantage gained by leveraging the power of information is very hard to replicate by competitors.

                Management with information ensures a smooth process driven organization climate as all management decisions are based on information and hence (by definition) are based on a proactive decision based approach. This ensures that problems are nipped in the bud and opportunities are taken even when others are unable to spot one. Management with information also ensures that decisions are based on objective criteria and are not ‘gut feeling’ based. This ensures fairness and boosts confidence of employees on the management. Business organizations that manage with information successfully achieve the following:

  • Minimization of risks – information helps organizations to continuously monitor and control the following entities:
  1. Activities (business activities)
  2. Situations (industrial dispute, etc.)
  3. Clients
  4. Competitors
  5. Markets
  6. Employees
  7. Technology, and
  8. Government (new regulations, etc.)

In short, information helps the organization to keep a tab of all likely or potentials areas of risk. Since with information, organizations can monitor the potential risk areas, it results in a shorter lead time for the organization to react to risks thereby helping the organization.

  1. Reduction of costs – management with information leads to reduction of costs (by gaining information on wastage and acting to eliminate it) by eliminating wastage and by improving efficiency and performance.
  2. Addition of value – information helps organizations to add value to customers by improving the offerings and by taking measures to ensure customer delight.
  3. Creation of new ideas and innovation – information and its flow within an organization enhances innovation and helps the organization to see the market reality in a better and more candid manner. Innovation is enhanced by increased information as increased information leads to greater understanding of key developments leading to innovation and new ideas.

Management with information is a continuous process and in many ways is a different philosophical approach towards management. It needs strong leadership and a commitment from top management to become a. successful strategy in the organization, it helps the organization to remain healthy and efficient.




What is Quality of Information?

By Dinesh Thakur

Quality of information is an important concept. Information quality is a multi-attribute concept. If the attributes that define quality of information are of good quality or of high value then the information is said to have good quality. The attributes of quality of information are:

  1. Timeliness- The speed at which the information is received. Normally, faster the information better is its quality.
  2. Appropriateness- is the suitability matching of the receiver and the information, more the suitability of the information to the receiver, better its quality.
  3. Reliability – the reliability of information is a key attribute of quality. Only if the information is reliable is it of any use. The understanding of reliability comes from past experience, the standing/reliability of the source, the methodology adopted to acquire and process the information and the channel of delivery.
  4. Accuracy – is the correctness of the information. Normally, the higher the accuracy of the information, the better is its quality.
  5. Completeness – is the measure of comprehensiveness. It is required to ensure that the information provided gives the complete picture of reality and not a part of the picture.
  6. These attributes define the quality of information. A high score on each of the attributes indicate that the quality of information is good.

Information Overload

Information overload is a condition where there is more information than one can handle. The concept of information overload has been around for over a century but its impact is being felt in today’s times as never before.

                                         Diagrammatic Representation of Quality of Information

Information overload is a huge problem for managers as it affects the quality of their decision-making. A good management information system ensures that information overload is avoided. Information overload leads to both psychological and physiological problems for the receiver and brings down the quality of decision-making. In today’s organization this is a major issue as it has the potential to destroy a lot of the value created by a good information system. System designers should be careful about this issueand should strive to create one version of the truth all across the organization. This helps to reduce information overload.




Value of Information in Management Information System

By Dinesh Thakur

The value of information is a very slippery concept as information per se does not have any universal value. Its value is related to the person who uses it, when he uses it and for what he uses it. Any assessment of the value of information is therefore related to the value of the decision-making supported by such information.

For example consider two persons lost in the Sahara desert. One person has an adequate supply of drinking water (more than he could desire) and another has exhausted his supply. If one were to approach these two individuals with information about a drinking water well in the surrounding, such information will obviously have greater value for the one who has exhausted his water supply. For the one who is thirsty, this information is the most valuable piece of information for him at that point of time as it will determine if he will survive. If by chance the information reaches this thirsty person late and he dies of thirst, then the value of the same information becomes zero. So we can see that the same information can have different value for different people at different points in time. Hence, it will be fair to conclude that value of information is relative. There is no absolute value of information.

                However, the normal mathematical and economical explanation of value of information suggests that if an event occurs whose expectation was low and information of its occurrence is known then such information is valuable. For example let us say that the reader of this text gets the information that an earthquake of 10.5 magnitude in the Richter scale is going to hit India and the epicenter of the earthquake will be the very spot on which he is located, then that information is more valuable to him than the information (say) that he has to pass his BCA exam to get into the MCA course. In the former case the information is more valuable to him as he is not expecting it but in the latter case he already knows the information with certainty and expects it fully and hence the value for such information is less. All market mechanisms work on this model of information. This has already been dealt with in the earlier chapter and as Eq.1 suggests, the value of information of an event is the negative logarithm of the probability of occurrence of the event. Therefore, the more unlikely the event the more its information value, if communicated correctly. This is also exhibited in our behavior as eons of evolutions have shaped us in a manner that we tend to attach more value to unlikely events. In a game setting for example, say a horse racing game, if the odds of a horse winning the race are more then the payoff for that horse is less. Similarly, if a stock in the stock market is likely to outperform the market then the price payoff for that stock is not high, but if a stock that is likely to underperforms, performs beyond expectation, then the price payoff become very high. Thus, we can that the issue of value of information is a complicated one.

Normative Value of Information

Marschak (1971) and McGuire (1972) made seminal contributions to this field of work. Decision theory has developed this concept further and the basic assumption is that we always have some preliminary information about the occurrence of events that are related to our decisions. This information or knowledge is represented by an a priori assignment of probability of occurrence to the event and hence a calculated payoff. The a priori probability might be objective or subjective as the case may be and with the knowledge of additional information the probabilities are modified resulting in a change in the expected payoffs. This approach is however, only good for theoretical discussions as its practical applicability is poor. The problem for such cases has to be highly structured, which is rarely the case in management.

Subjective Value of Information

It is the subject view of the information available. It is the subjective perception or impression of the information. This subjective value approach varies widely with individuals. In the subjective valuation of information, no probabilities are calculated. Subjective value of information is the person’s (receiver’s) comprehensive impression about the information content.




Differences between Data, Information and Knowledge

By Dinesh Thakur

This issue has been dealt with in each and every MIS text. The reason is that this issue is important from a conceptual standpoint in the study of MIS. The concepts of ‘Data’, ‘Information’ and ‘Knowledge’ are interlinked. In fact, data, information, knowledge and wisdom have been the building blocks of systems thinking and are sometimes referred in literature as DIK hierarchy. Data is raw facts, which is not of much use per se. When this data is processed it becomes information.

A simplistic way of connecting the above concepts is to consider information as the understanding of relations in the data and knowledge as the understanding of patterns in the information.

                    Relationship between Data, Information and Knowledge

The management of information is largely the efficient management of data, which are the basic building blocks of information, If the data is not managed properly, information will not be generated, So even though data by itself is meaningless, it is vital for information management Poor data quality leads to a situation commonly known as ‘garbage in, garbage out’, where the information coming out of processing the data is also as meaningless as the data to start with was useless. In fact, the subject of information management largely deals only with the strategies for managing data.

Deriving knowledge from information however, is a more difficult challenge. Information can be stored in specific systems to create organizational memory and organizational learning. The problem with managing knowledge is that it is largely contextual with a strong experiential bias making replication a big problem. Knowledge management is an issue that needs detailed discussion, which we shall revisit later.

Consider the following statements:

  1. I have two boxes connected by wires.
  2. Box one is moderately heavy and boxes two is lighter.
  3. Box one has a glassy front view with 3-4 buttons in front
  4. Box two also has 3-4 buttons but no glassy frontal part.
  5. You usually find the boxes in a study with smaller gadgets attached to it through wires.
  6. Gadget one has a lot of push buttons with alphabetical and numerical characters printed over each button and the other gadget, gadget two fits into a palm and has a roller ball underneath with two buttons on top.
  7. When a button of box two is pressed, box one initially shows characters in the frontal glassy part and then lights up like a television.

Can you guess what it is?

Yes it is the description of a personal computer. Somewhere, while reading the statements you could match the pattern of a personal computer’s description with the statements above. When you started reading the statements in a sequence, the statements must have meant nothing at all to you but somewhere you could match the pattern based on your knowledge and then on, the other statements were only a confirmation of your understanding. However, if you would not have seen a computer in your life, you would not have been able to identify the statements as describing a computer. This is what knowledge is. Knowledge helps you to make meaning of the information at your disposal. Each statement is information as each statement is complete and has meaning. However, the value of such information is very low as it does not convey any decision-making .value to you. The fact that there are two boxes and two gadgets attached to the boxes are data which in themselves convey neither information nor knowledge.




What is Information? Definition and Meaning.

By Dinesh Thakur

Human beings have known information and its relevance to their existence from the beginning of human civilization. Our instincts and intellect have developed and evolved to take advantage of information. However, we have been unconscious about the role it played in human lives till the early twentieth century.

Only in the later part of the twentieth century and specifically in the seventies and eighties has the role of information come into focus. With the success of the US based firms, like Bloomberg, information began to be taken seriously in business organizations. Today information is considered as the most important resource in a business organization. Information is required in business to serve a host of purposes ranging from the most critical, like decision-making, strategizing, planning, to the mundane, like operational control, automation. In some futuristic business organizations, it has assumed the role of a differentiator, giving competitive edge to the organization. Information management has therefore, become a very important task in modern business. Business organizations invest heavily to install modern information management systems. These systems are housed within a computerized environment more popularly called information technology platform. The requirement for technology in information management stems from the dual need for ‘timely’ and ‘accurate’ information in today’s modern business.

Meaning of Information

Information and the understanding of its value lie at the core of management information system. Information is quite distinct from data, even though the two concepts are interrelated. The concept of information as an important resource began to take root from the late eighties. Management practitioners began to deliberate seriously on the issue after the huge success of Bloombergin the eighties Bloomberg started with the modest business of analyzing the financial results of different US companies and providing analyzed data or information about the financial performance of these firms to brokers in the stock market for a price, thus starting the first information business in the information trading business. Different forms of such information based business have evolved since then and today, information is not only regarded as a resource but is considered as the most valuable resource. A resource which if used properly may result in competitive advantage for the firm.

                 The Bloomberg Site Today

We are instinctively alert for ‘valuable’ information. However, the human brain has evolved to understand that there is different degree of ‘value’ of information (which the brain unconsciously values). The human brain works in a way that it prioritizes information according to its perceived value, most often this unconscious valuation mechanism in our brain is correct, more so in the case of instinct based information. For example, let us assume that a driver notices a child suddenly crossing the road and evaluates that he will hit the child unless he stops and at the same time he feels an itching sensation on his forehead. In this case the brain of the driver prioritizes the two different information that receive from the different sensory inputs, it reacts by sending a signal to the driver’s right foot to press the brake pedal to stop the car and only after the car stops will the brain react to the itch. We unconsciously do this everyday. Evolution has taught us that information has a context and hence different degrees of value. We exhibit the same behavior of prioritization of valuable information in taking business decisions. Sometimes the value of information is evident but in most cases the value has to be mined out. The value that information delivers for business can be of several types. For example, it may be the launch date of a competitor’s product (kept secret by the competitor) or it may be the total sales of the organization made in a particular market segment in a specific time frame. In the former case the information is very straight forward (it is just a few pieces of data) and the difficult part is to get a source for such information (the basic data is very difficult to get and may well be available only through industrial espionage). In the latter case the data is available in abundance and information is created by processing it and the difficult part of the information creation is the processing part not the availability of data, which of course is important as well but not as important as in the former case. The subject of information as used in business organization deals mostly with the latter case, in which the organization’s own data is captured, stored and analyzed to create information for decision-making. Information of the former type is mostly dealt with through industrial espionage.

Information-Mathematically

Mathematically, information may be defined as a function of the probability of occurrence of an event. The information theory literature has been developed by C.E.Shannon, ‘Norbert Wiener and others. To understand information in a mathematical way, let us consider an event E with probability of occurrence p. Information is of greater value if the probability of its occurrence is closer to 0 than 1. For example, if someone were to convey that the Sun will rise in the East tomorrow, then would we consider this message to be ‘valuable’ information? No, as this event (i.e., Sun rising in the East tomorrow) is certain (and hence has very little, almost no information value), but if on the other hand, if someone were to convey the message that in the next five minutes an earthquake would hit with its epicenter at the very spot on which the reader is sitting, then that piece of message would have a much greater information value as the probability of its occurrence is much less (and hence consequently, its information value great). Thus, we can see that the greater the probability of occurrence of an event, the lower its information. This is what Shannon has defined mathematically as,

h (p) = -Iog (p), where 0 < p ≤ 1

h (p) is the measure of the amount of information (also called information function measured in bits).

p is the probability of occurrence of an event.

We can see that h (p) is a decreasing function whose value varies from ∞(when p is 0)

to 0(when p is 1).

The value of information comes down exponentially as p increases. This means that as events start happening on expected lines, information about such events start to diminish in value. When the event is certain with probability of occurrence at one, then its information value becomes zero.

Entropy

Entropy is a concept in physics, which is a measure of the degree of randomness in a system. Shannon (1949) suggested that the concept of entropy in information theory. Entropy in information theory is the mathematical expectation of information of the occurrence of one of the events when a set of events is considered.

Let there be n events E1, E2….En, with probabilities of occurrences as P1 P2….. Pn Where all probabilities are greater than 0 and the sum of all probabilities is one.

            Relationship between Value of Information and Probability

Now, Entropy function is defined as,

                                   n                            n

H(p1,p2,…..pn) = – ΣP1 logp1;p1 ≥0, Σp1 = 1

                                  i=1                         i=1

It is clear, that entropy is a measure of expected information. Sometimes entropy is also considered as a measure of uncertainty.




Why Management Information Systems (MIS) Are Required?

By Dinesh Thakur

Business and business environment have changed dramatically in the last one and a half decades. The transformation has been nothing short of being radical. Concepts and issues that were centre stage a decade back are now irrelevant and have been replaced by new ones.

A liberalized, globalize and open environment for business and commerce exists today in this new era. New products and services have replaced older ones and competition has become more intense and the churning in the marketplace has resulted in the creation of new market leaders. Customers have become aware and governments have brought in progressive legislations and the pace of international business integration has increased. Globalization has made geographical boundaries meaningless, the Internet revolution has changed the way of life and commerce even the internal functioning of businesses ,have changed with less and less hierarchy, a more open culture, easier and transparent communications, increased expectation of faster delivery and greater focus on corporate governance.

In short, we live now in a completely new order. This new order in which we live is ruled by the power of information. Information and technology that helps in managing information have worked as the catalyst for this change. The change is by no means final. In fact, this process of change is likely to intensify in the years to come.

                Managers who run businesses are always tuned with the market realities so that they can react with minimum time and effort in case any problem or opportunity presents itself. The changes sweeping through the business and economic environment have forced business to look at newer ideas to bank on and thrive. One of the ideas reinvented in the modern business era is the management of information, not just for reactive decision-making but for proactive decision-making to embrace the changes in the marketplace and turn threats into opportunities. However, before we proceed any further, let us take a look at the major trends in modern business environment that have forced management thinkers to take a new look at the management of information.

Increasing Competition

The most important trend in the modern business environment is the increase in competition. Competition has forced businesses to become more efficient and effective. More and more corporate entities are obsessed with the efficient use of its resources to beat competition. Capital is freely flowing to low-cost (but not necessarily low quality) manufacturing and servicing hubs, the world over. Economies of scale have become important along with the productivity of capital and labor. In fact, most of the measures that a business entity takes today are with a focus on competition. The main reasons for this increase in competition are due to:

Globalization and Liberalization

Businesses want to derive value in any location or in any country by leveraging a wage arbitrage opportunity or creative labor force or business-friendly government policies or low cost scale manufacture/service to create value for the shareholders. The world has indeed become flatter in the last few years.

Market Dynamics Favoring the Efficient

The markets have become demand driven. Customers today have greater choice and hence demand for better quality at a lower price, which in turn favors those companies which are efficient in their use of resources as they can deliver a better quality product at a lower price.

The Fast Pace of Recent Technological Change and Innovation

The recent technological changes in information technology, Very Large Scale Integrated Circuit (VLSI) design, and nano technology and biotechnology space have altered many market equations. Disruptive technologies have leveled the playing field and made competition difficult for established companies and easier for start-up firms. Innovation has now become the new tool for gaining long term advantage in the marketplace. Top management now routinely focuses exclusively to bring in innovation in their products and processes.

Increased Information Exchange

It has resulted in a free flow of information about markets, competitors, strategies and alternatives making competition all the more difficult.

Increasing Uncertainty in the Marketplace

The fast pace of technological change and innovation has resulted in uncertainty. Businesses are continuously alert to changes in the market place. Disruptive technologies get developed faster and the life cycle of a product/service gets shorter every year. Gone are the days when a company had a blockbuster product/service that it could sell for years together. Today alternatives get made in shorter time and from the most unexpected competitors and locations of the world. This competition from unknown competitors and from unknown technologies and products creates a sense of uncertainty among businesses. The manner in which business is being conducted is also adding to the uncertainty. Market meltdowns like the recent global financial market meltdown and slowdowns strike markets without any warning which creates a general feeling of uncertainty. This uncertainty has to be met with greater capacity to absorb external shocks in the organization and by reducing the reaction time to changes in the marketplace. Information management becomes a crucial weapon in such environs where uncertainty is a certainty. The value that an organization gets from investments on information management in such situations is immense as the difference between success and failure may be just a small piece of crucial information provided by an efficient information management system.

Increasing Globalization

Globalization is also another important trend in today’s business. Geo-political boundaries have lost much of their relevance in business due to globalization. Today a North American business house can source its raw materials/components from a country in sub-Saharan Africa, manufacture/assemble in China and sell it in Europe or Japan. The barriers have fallen. Capital flows freely in different forms from one country to another and the primary considerations are lower costs and increased efficiency. Corporations have a more pragmatic view of business and focus only on increasing value. Globalization is a force in modern business that is growing with every passing day. Organizations are on the lookout for global markets, global manufacturing hubs, global logistic hubs, global labor force and global presence. Today a business entity tries to scale up its business to a global scale as soon as possible. The idea is to find lucrative markets in different corners of the planet, create products or services at any location where cost of creating the product or service is lowest and then connect the market with the manufacturing/servicing hub by a global supply chain. Globalization has today transformed from being a business philosophy to a unifier. Several books have been written on the effects of globalization. Globalization has brought opportunities as well as threats to business. Those businesses that can link themselves to this huge global business in any manner (in any part of the value chain) stand to gain from globalization but those that choose to remain outside the ambit may face difficulties. The opening up of the global marketplace for commerce has also brought in threats. Businesses can no longer remain in their comfort zones without having an open-eye to global competition. Local businesses face increasing competition from global players. They can choose to go global themselves or remain local and face competition. Whatever the strategy, one can no longer ignore globalization. It has forced businesses to become more efficient. It has changed the perception of customers and made them more demanding. It has made shareholders hungrier for profits and changed the fundamentals of doing business in many ways. It is here to stay and businesses have to be acclimatized to this modern trend.

Increasing Tendency of Outsourcing

More and more businesses are trying to beat competition by staying focused on their core functions and competencies and outsourcing the rest of the non-key functions to specialized firms. Specialized firms have sprung up (especially in low cost countries like India) that have made managing the non-core businesses of other companies their core competence. Special firms which are called Business Process Outsourcing (BPO) firms have created competencies in voice and non-voice customer relationship management, legal process management, etc., so that they can handle these ‘non-core’ processes of other companies at a fraction of the cost. This helps the outsourcing companies to remain profitable by lowering costs and improving quality of its key and non-key areas. Its key functions are now free to be given complete focus within the organization and its non-key functions are now key functions for someone else Le. the outsourced entity. The tremendous wage arbitrage opportunity provided by transferring these non-core jobs to developing countries makes it a lucrative proposition for companies in developed countries. This has been made possible by the great advances in information and communication technology that have made territorial distance meaningless. It has made the service delivery independent of boundaries. Anyone located anywhere can deliver service anywhere making the service delivery independent of boundaries.

Outsourcing can be of different types. Outsourcing can be voice-based or non-voice based. Sometimes outsourcing can be such that the outsourced organization works from the premises of the client organization. Most IT outsourcing are of this type. Some of the outsourcing jobs being carried out today are:

  1. Direct selling by tele calling-Outbound calls
  2. Direct selling by tele calling-Inbound calls
  3. Customer grievance handling by receiving calls
  4. Customer support by tele calling
  5. Medical transcription
  6. Legal process outsourcing
  7. Technical support to sales team through inbound calls
  8. Billing support and management
  9. Accounts management
  10. Human resource management
  11. Recruitment assistance
  12. Marketing analytics support
  13. IT application development
  14. IT maintenance
  15. Entire IT management
  16. IT hardware support
  17. IT software support

And a host of other areas that are cost intensive and require specialization.

Outsourcing requires special managerial skills. Contracts management and time management are crucial for managing outsourcing. Constant monitoring of the outsourced partner needs to be adhered to but at the same time suitable vendor relationship needs to be maintained. Sometimes outsourcing may involve management of entities over different geographies with different cultures and time zones. From the perspective of the outsourcer, outsourcing involves challenges like,

  1. Ensuring quality of output
  2. Ensuring timely output
  3. Ensuring zero cost escalation
  4. Ensuring minimum customer complaints
  5. Ensuring synchronized service over different time zones
  6. Ensuring zero stoppages
  7. Ensuring six sigma

All this requires a very good relationship management with the outsourced vendor. It requires understanding of the vendor’s capability and a realistic assessment of the achievable goals. It also requires constant communication to ensure that the information flow across the vendor and the client is not disturbed. It also requires an understanding of different work cultures to anticipate problems before they occur. It also requires a bit of legal knowledge of the laws of the land and also of the laws of the outsourced country, particularly with regard to contract laws, workplace related laws, labor laws, privacy and IT laws and security and IPR related laws.

From the perspective of the outsourcing agency the skill requirements are:

  1. Service orientation
  2. Ensuring six sigma
  3. Ensuring proper client management
  4. Ensuring zero stoppages
  5. Managing a large body of young and educated labor force
  6. Managing a large IT platform
  7. Ensuring efficiency of service level
  8. Ensuring polite and amiable customer handling

Outsourcing is a controversial issue. In developed countries, there is opposition to movement of jobs to low cost countries outsourcing. Indeed in countries like the US, outsourcing is a major political issue. Even though there has been a lot of hue and cry over outsourcing, several studies have shown that outsourcing not only results in enormous cost savings but also results in improved service delivery. Outsourcing is a natural corollary of the process of globalization as more and more businesses try to become globally competitive, they will search for ways to reduce costs and improve service. Outsourcing provides them a wonderful opportunity to do just that.

Reducing Hierarchy and Improved Transparency

Businesses have themselves transformed over time. The organization structures of business organizations are becoming flatter reducing unnecessary hierarchy. The popular corporate culture within organizations, both in the West and in developing countries like India and China has changed dramatically to a more informal first name, efficiency focused and work driven culture. Focus is now more on work and how to get it done and less on massaging egos of superiors and adhering to strict hierarchy as was the case in the past. This free and open culture is visible and reflected in several areas of business from the modern open office design to the style of writing memos. This open culture has resulted in greater efficiency and a culture of open communication and fast action and decisions based mostly on data driven reports.

This increased openness in the office environment is a process that can be traced to the late eighties when companies grappled with cultural issues in organizations. Transparency has improved because of the impact of MNCs. The increased transparency has resulted in faster and more efficient reactions from employees. The trust levels in companies have gone up with rise in transparency.

Increasing Clout of Civil Society and Media

Civil society and media all over the globe have become more aware with greater clout and power. From environmental issues to consumer protection issues, they are increasingly asserting their power to make consumers aware of different burning issues thereby creating challenge for business in some cases. Environmental pollution, global warming, consumer protection, safety, etc., have now come to the centre stage of business attention. No business house can afford to ignore these interest groups in this changed order.

Civil society bodies and media have made it impossible for companies to hide behind curtains of opacity. Public awareness coupled with an active media has forced companies to increase compliance on regulatory and ethical fronts. Companies now know that the cost of non compliance is much higher now, in terms of not only cost but also in term of loss of goodwill and public image. More and more companies have started to comply with public· welfare issues and the civil society and media have even started to rate companies on their performance in this front.

Increasing Customer Focus

Businesses have become increasingly aware of the need for customer focus to improve market share. They have realized that the customer today has a choice as never before. Those companies which will ensure customer loyalty through good delivery and service will come out as winners in the marketplace.

These trends of modern business indicate that the way business was being conducted has changed and will evolve further in the coming years. Now a more competitive business environment exists. Liberalization and globalization have made international and geographic boundaries meaningless. Cultural changes and social empowerment have themselves brought in positive changes in organizations. Corporate governance initiatives and media focus have made business more accountable and open. The WTO has reduced trade barriers. Businesses cannot survive in this environment in isolation. They have to embrace these changes. The increasing uncertainty of market forces have to be neutralized by visionary decision-making. Businesses have to be proactive. Decisions will have to be based on proactive approach such as using predictive analysis rather than the age-old reactive approach. Efficiency will ultimately decide who wins and who loses. The need therefore is for faster access to the right kind of information and insight to improve the quality of management decision-making. This is the reason why large corporate houses are investing millions of dollars to ensure a proper information technology infrastructure for better information management. Investments in Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Data Mining and Data Warehousing (DM and DW) systems have now become the norm rather than the exception in corporate houses.

                The business environmental changes have necessitated a new view on organization and the role played by information management in it. The challenge is to integrate and enable organizational structure, culture and form with information management so that management decision-making is faster, accurate, timely and reliable. Before we proceed any further on the need for information management in this new era, let us clearly understand some of the concepts related to the use of information within an organization.

Increasing Focus on Knowledge in Business

Business organizations are focusing more and more on knowledge as a key ingredient for success along with capital and labor. Focus is more on using knowledge to increase output and get greater value for the resources applied. More and more companies are investing therefore, in research and development to come up with new and better products and services. This knowledge focus has led to very fast obsolescence of products and services and hence, has indirectly led to increased competition.

Increasing Awareness of the Value from Managing Information

Businesses have become increasingly aware of the value of information and invest heavily to acquire the valuable information. Awareness has sunk in that ultimately the greatest differentiators are information based differentiators. Google, Big Flicks, and other such firms have made information their competitive advantage. This trend of information driven competition has created a new breed of companies and managers who focus on analyzing data to derive predictive kind of information so that decisions can be based on what the future has in store. This type of proactive decision-making is very effective and much better than the reactive type of decision-making that is done in traditional companies. This makes the analytics based competitors more agile to changes in the marketplace and hence, their reaction time is much less.

Increasing Investment on Information Technology

Companies are investing heavily in information technology as they are getting greater value from this kind of investments. This trend has resulted in the commoditization of information technology. Today due to the competitive pressures, most successful companies have MIS or even better versions of MIS in the form of ERP or CRM or even KM systems, but that is not able to give them the edge in competition as all its competitors also have similar systems. Thus, a competition has started in the installation of IT solutions for management problems. However, a very few companies make use of the information for decision-making, which is the original objective of these systems. Those that do, dig deeper into their own data to find insights for decision-making. These companies succeed as their decisions are proactive.




What is the Relationship Between Efficiency and Effectiveness

By Dinesh Thakur

Efficiency is a measure of the amount of resources required to achieve the output, i.e. the use of system resources to get results. Being efficient implies the system is operating the ‘right’ way.

The relationship between effectiveness and efficiency is that effectiveness is a measure of ’goodness’ of output, while efficiency is a measure of the resources required to achieve the output. Thus effectiveness of the system refers to the quality of outputs from the system.

 

 

How do the organizations use their strategic information systems for gaining competitive advantage

By Dinesh Thakur

A Strategic Information System can offer competitive advantage to an organization in the following ways:

1) Creating barriers to competitor’s entry: In this strategy, an organization uses information systems to provide products or services that are difficult to duplicate or that are used to serve highly specialized markets. This prevents the entry of competitors as they find the cost for adopting a similar strategy very high.

 2) Generating databases to improve marketing: An information system also provides companies an edge over their competition by generating databases to improve their sales and marketing strategies. Such systems treat existing information as a resource. For example, an organization may use its databases to monitor the purchase made by its customers, to identify different segments of the market, etc.

3) ‘Locking in’ customers and suppliers: Another way of gaining competitive advantage is by locking in customers and suppliers. In this concept, information systems are used to provide such advantages to a customer or a supplier, that it becomes difficult for them to switch over to a competitor. For example, an organization may develop its information system and give many benefits to its customers, like reliable order filling, reduced transaction costs, increased management support and faster delivery service.

4) Lowering the costs of the products: strategic information systems may also help organizations lower their internal costs, allowing them to deliver products and services at a lower price than their competitors can provide. Thus such information systems can contribute to the survival and growth of the organization. For example, airlines use information systems strategically to lower costs so that they may counter competitor’s discount fares.

5) Leveraging technology in the value chain: This approach pinpoints specific activities in the business where competitive strategies can be best applied and where information systems are likely to have a greater strategic impact. This model advocates that information technology can best be used to gain competitive advantages by identifying specific, critical leverage points.

Discuss in Detail the Various Terminologies used in Information System Planning

By Dinesh Thakur

Organizations that plan their information system tend to achieve better results than organizations that do not, yet studies reveal that many organizations either do not plan or do it unsystematically.

The information system plan generally includes the goals, objectives and structure of the information systems, the available information system resources and future developments, which may affect the plan.

 

Planning terminology: –

 

i) Mission: – It states the basic purpose for which an organization exists. In other words, the mission statement is a broad, enduring statement giving the organization’s ‘reason for being’. It answers the basic questions, ‘ what is our business?’ and distinguishes one organization from other similar organizations.  For example, the mission of an oil organization is stated as follows:

To stimulate, continue and accelerate efforts to develop and maximize the contribution of the energy sector to the economy of the country.

ii) Objectives: – Objectives are the desired future positions and destinations the organization intends to reach in order to fulfill its mission.

iii) Strategies: – A strategy is a general direction in which an objective is to be sought. For e.g., if an objective is to increase earnings per share, it can be attained through action in many directions- new products, acquiring small companies, selling more in existing or new markets and even disinvestments of losing propositions. Each of these then will be termed as a strategy.

iv) Policies: – A policy is a general guideline that directs and constrains decision- making within an organization. In other words, a policy is a statement of intended behavior for the organization. Policy limits the scope of alternatives to be considered in decision-making in the implementation of a strategy. Policies are implemented by rules and procedures, which are more specific statements that direct decision-making.




Discuss the Changing Concept of IS

By Dinesh Thakur

Information as a necessary evil: – Information was regarded as a necessary evil, associated with the development, production and marketing of products or services. Information was thus merely considered as a by-product of transactions in the organizations.

As a result, information systems of 1950s were primarily designed with the aim to reduce the cost of routine paper processing in accounting areas. The term Electronic Data Processing (EDP) was coined in this period.

Information for General Management Support: – By mid-sixties, organizations began recognizing information as an important tool, which could support general management tasks. The information systems corresponding to this period were known as management information system (MIS) and were thought of as system processing data into information.

Information for decision –making: -In early eighties, information was regarded as providing special-purpose, tailor-made management controls over the organization. Decision support systems and executive support systems were important advancements, which took place during this period. The purpose of such information systems was to improve and speed-up the decision-making process of top-level managers.

Information as a strategic resource: – In the revolutionary change pattern, the concept of information changed again by the mid-eighties and information has since then been considered as a strategic resource, capable of providing competitive advantage or a strategic weapon to fight the competition. Latest information systems which are known as strategic systems, support this concept of information




Four Stage Model of IS Planning

By Dinesh Thakur

A wide variety of techniques are being applied for IS panning. However, organizations select these techniques based on the persuasive power of IS developers rather than on a sound logic.

The main reason of selecting wrong techniques is attributed to the non-identification of the stage the information system of the organization is in. this model describes the four generic planning activities, namely, strategic planning, requirement analysis, resource allocation and project planning.   

   Four Stage Model of IS Planning

                                                   Fig: Four Stage Model of IS Planning

The four stage IS planning model, besides providing insight into the planning process, reduces confusion about the selection of competing planning methodologies.

Four stages of IS planning model

 

IS planning activity                                                   Description


Strategic Planning                                 Matches the overall organizational plan with the IS plan.

Information Requirement Analysis   Identifying broad, organizational information requirements.

Resource allocation                               Allocating resources for IS development and operation.

Project planning                                     Formulating a plan giving resource requirements for specific IS projects and schedules.

 

Strategic Planning:
In this planning stage, objectives, goals and strategies are compared with the objectives, goals and strategies of the organisation. The following techniques are used:

 

i)    Derivation from the organsiational plan
ii)   The strategic information system grid
iii)  Strategic fit with organsiational culture
iv)   Strategy set transformation

 

Information Requirements Analysis:

 

This stage deals with the current and future needs for IS to support decision-making and operations of the organisation. To undertake information requirement analysis, the following steps are followed

 

i)     Define underlying organisational requirements
ii)    Develop sub-system matrix
iii)   Define and evaluate information requirements for organisational sub-systems

 

Resource Allocation:

 

After identification of the need for information system applications for entire organisation, the next phase is allocation of resources.

 

Project Planning:

 

The last stage of four-stage model of MIS planning is project planning which provides an overall framework for system development planning, scheduling and controlling. A wide variety of tools of project management are available, which include milestones, critical path method (CPM) and Gantt Charts.

 

Nolan Stage Model for IS planning

By Dinesh Thakur

Richard Nolan (1974) has discussed a framework for IS planning, popularly known as Nolan stage model. The basic premise of the model is that any organization will move through stages of maturity with respect to the use and management of IS. While progressing, an organization must go through each stage of growth before it can move to the next stage.

In fact Nolan stage model is a contingency model, which helps managers diagnose the stage(s) of IS in the organization and thus provide a set of limits to planning. The model has been called contingency model because it states:

IF these features exist THEN the information system is in this stage.

The Nolan stage model has identified four stages of information system growth. A brief description of these stages is given below:

Stage 1

The First growth stage is known as initiationstage. In this stage, the technology is placed in the organization. A few applications in the organization are computerized. There are only a small number of users. This stage is characterized by minimum planning.

Stage 2

This growth stage is called expansion or contagion stage. During this stage rapid and uncontrolled growth in the number and variety of IT applications takes place. Many users adopt computers in solving their IT related problems.

Stage 3

This stage is known as formalization or controlstage because in this stage, organizations gain control over the technology’s resources by implementing formal control processes and standards. Thus, organizations are able to apply cost-effective criteria. However, controls sometimes become barriers in attaining potential benefits.

Stage 4 

Nolan has described this growth stage as maturity or integrationstage as by this stage organizations gain sufficient experience and maturity in IS/IT applications. In this stage, applications are integrated, controls are adjusted. Planning is well-established. That is why this growth stage sometimes is also called the stage of perfection.

Nolan in 1979 enhanced this model to 6 stages. In the enhanced model, the first 3 stages remain the same and the maturity stage of the four- stage model has been sub- divided into 3 more specific stages which have been renamed as stage 4, stage 5 and stage 6 respectively.

Stage 4 is called Integration stage, stage 5 is called administration stageand stage 6 is called maturity stage.




ERP – What is ERP?

By Dinesh Thakur

Enterprise resource planning involves procuring and accumulating the resources for their optimum utilization through integrating them at one place and giving multiple accesses to these resources. The broad sets of activities are supported by multi module application software.

What is MIS Planning? Discuss the need and objectives of MIS Planning

By Dinesh Thakur

The plan for development and its implementation is a basic necessity for MIS. In MIS the information is recognized as major resource likecapital and time. If this resource has to be managed well, it calls upon themanagement to plan for it and control it, so that the information becomesa vital resource for the system.

The management information systemneeds good planning. This system should deal with the managementinformation not with data processing alone. It should provide support forthe management planning, decision making and action. It should providesupport to the changing needs of business management.A long range MIS plan provides direction for the development of thesystem and provides a basis for achieving the specific targets or tasksagainst time frame.

Following are the contents of MIS planning :

MIS Goals and Objectives : It is necessary to develop the goal and objectives for the MIS which will support the business goals. The MIS goals and objectives will consider management philosophy, policy constraints, Business risk, internal and external environment of the organization and business. The goals and objectives of the MIS would be so stated that they can be measured. The typical statements of the goals can be providing online information on the stock and market; the query processing should not exceed more than three seconds and the like.

Strategy for Plan Achievement : The designer has to take a number of strategic decisions for the achievement of MIS goals and objectives. They are

d) Development Strategy : Ex. an online, batch , a real time.

e) System Development Strategy : Designer selects an approach to system development like operational verses functional, accounting verses analysis.

f) Resources for the Development : Designer has to select resources. Resources can be in-house verses external, customized or use of package.

g) Manpower Composition : The staff should have the staffs of an analyst, and programmer.

The Architecture of MIS : The architecture of the MIS plan provides a system and subsystem structure and their input, output and linkage. It spells out in details the subsystem from the data entry to processing, analysis to modeling and storage to printing.

The System Development Schedule : A schedule is made for development of the system. While preparing a schedule due consideration is given to importance of the system in the overall information requirements. This development schedule is to be weighed against the time scale for achieving certain information requirements.

Hardware and Software Plan : Giving due regards to the technical and operational feasibility, the economics of investment is worked out. Then the plan of procurement is made after selecting the hardware and software. One can take the phased approach of investing starting from the lower configuration of hardware going to the higher as development take place. The process needs matching the technical decisions with the financial decisions.

 

What is the procedure for carrying out the cost/benefit evaluation of an MIS

By Dinesh Thakur

           In cost/benefit evaluation of the various expected costs, the benefits to be expected from the system and expected savings is done. The cost/benefit analysis determines the cost-effectiveness of the system. The various categories of costs and benefits are measured and included in cost/benefit analysis.

 

i)        Initial development cost : it is the cost of developing an information system. The various elements of development cost include project planning cost, feasibility study cost, testing costs, implementation cost etc.

ii)       Capital cost : It is also a one time cost. It is the cost of providing facilities and equipments including hardware etc for the operation of the system.

iii)     Annual operating cost : It is the cost of operating the system. It includes computer and equipment maintenance cost, personnel cost overheads and supplies cost. Computers and equipment are to be maintained and thus some cost is included, known as Annual Maintenance Cost.

In cost/benefit evaluation, various expected beenfits from the system are also studied. The first task is to identify each benefit and then assign a monetary value to it. Benefits may be tangible or intangible, direct or indirect.

The major benefits are improving performance and minimising the cost of processing. The performance part suggests improvement in accuracy, timeliness, non-duplication, adequacy, usefulness in information and easier access to the system

 




What is the procedure for selecting the hardware and software in an information system

By Dinesh Thakur

Selecting hardware and software for implementing information system in an organization is a serious and time-consuming process that passes through several phases. The main steps of the selection process are listed below:

1. Requirement analysis: – System configuration requirements are clearly identified and a decision to acquire the system is taken in this step.
2. Preparation of tender specifications: – After studying the feasibility and deciding upon the configuration, tender documents are prepared for the benefit of vendors to clarify the details of various specifications, as listed below.

I)   Purchase procedure and schedule: it includes
a)  Date of tender submission
b)  Evaluation criteria
c)  Scope for negotiations, if any and
d)  Expected usage environment and load pattern
ii)  Equipment specification

Detailed technical specifications of each item required for both mandatory and optional items.

II)  Quotation format:

a)   Format for stating technical details and quoting prices
b)   Whether deviations from specifications should be specifically listed
c)   Prices and levies (duties, taxes etc.) could be quoted as lumpsum or required separately.
d)   Required validity of the quotation.
e)   Earnest money deposit required, if any.

III)  Proposed terms of contract

a)   Expected delivery schedule.
b)   Uptime warranties required
c)   Penalty clause, if any
d)   Payment terms (Whether advance payment acceptable)
e)   Arbitrary clauses
f)    Training needs.
g)   Post warranty maintenance terms expected.
v)   Any additional information required.

3. Inviting tenders: – After the preparation of tender specifications, tenders are invited. Invitation of tenders may depend upon the magnitude of purchase (estimate equipment cost). It may be through

i)    Open tender (through newspaper advertisement)
ii)    Limited tender (queries sent to a few selected vendors)
iii)   Propriety purchase (applies mostly to upgrade requirements)
iv)   Direct purchase from market. (applies mostly to consumables)

4.  Technical scrutiny and short listing: – This step involves the following activities.

i)   All tendered bids are opened on a pre-defined date and time.
ii)  Deviations from the specifications, if any, in each bid are noted.
iii) A comparative summery is prepared against the list of tendered technical features.

Additional factors to considered are:

i)  Financial health of the vendor

 (from balance sheets)

ii)  Nature and extent of support

(from information provided on number of support staff per installed site an cross-check with selected customers)

iii) Engineering quality pf products

(factory inspection of product facilities, QA procedures and R&D)

5.  Detailed evaluation of short listed vendors: – This step primarily involves getting any finer technical clarifications. Visits to customer sites and factory inspections may be planned. If any specific performance requirement is stipulated, the offered product is to be examined at this stage through suitable benchmark tests. For benchmark tests, standard benchmarks may be used as adequate performance indicators.

6.  Negotiation and procurement decision: – Because of the extensive competition, computer system vendors may offer significant concessions. Negotiations are held to maximize these concessions. However, price negotiations are often not permitted by some organizations.

When price negotiations are permitted, the committee members should have a good knowledge of the prevailing market prices, current trends, and also the duty/tax structure.

i)   Computer magazines
ii)   Vendor directories.
iii)  Contact with other users
iv)  Past personal experience.

7.   Delivery and installation: – In this step, the vendor delivers the hardware/software to the buyer’s organization, where it is matched with the specifications mentioned in the purchase order. If conforms to these specifications, the vendor installs the system in the premises of the organization.
8.   Post-installation review: – After the system is installed, a system evaluation is made to determine how closely the new system conforms to the plan. A post-installation review, in which system specifications and user requirements are audited, is made. The feedback obtained in this step helps in taking corrective decision.




What is system maintenance? What are its different types

By Dinesh Thakur

The results obtained from the evaluation process help the organization to determine whether its information systems are effective and efficient or otherwise. The process of monitoring, evaluating, and modifying of existing information systems to make required or desirable improvements may be termed as System Maintenance.

System maintenance is an ongoing activity, which covers a wide variety of activities, including removing program and design errors, updating documentation and test data and updating user support. For the purpose of convenience, maintenance may be categorized into three classes, namely:
i) Corrective Maintenance: This type of maintenance implies removing errors in a program, which might have crept in the system due to faulty design or wrong assumptions. Thus, in corrective maintenance, processing or performance failures are repaired.
ii) Adaptive Maintenance: In adaptive maintenance, program functions are changed to enable the information system to satisfy the information needs of the user. This type of maintenance may become necessary because of organizational changes which may include:
a) Change in the organizational procedures,
b) Change in organizational objectives, goals, policies, etc.
c) Change in forms,
d) Change in information needs of managers.
e) Change in system controls and security needs, etc. 
iii)Perfective Maintenance: Perfective maintenance means adding new programs or modifying the existing programs to enhance the performance of the information system. This type of maintenance undertaken to respond to user’s additional needs which may be due to the changes within or outside of the organization. Outside changes are primarily environmental changes, which may in the absence of system maintenance, render the information system ineffective and inefficient. These environmental changes include:
a) Changes in governmental policies, laws, etc.,
b) Economic and competitive conditions, and
c) New technology.


Detailed System Design

By Dinesh Thakur

Conceptual design in itself is not the end of the design process, rather it servers as a basis for the detailed MIS design. The performance requirements specified by the conceptual design become inputs to the detailed design phase, in which these are further refined, detailed and finalized to be called the system specifications.

Thus, the main objective of the detailed system design is to prepare a blue print of a system that meets the goals of the conceptual system design requirements. Detailed system design involves the following phases.

    Project planning and control.
    Involve the user
    Define the detailed sub-system.
    Input/Output design.
    Feedback form the user
    Database design.
    Procedure design.
    Design Documentation

1) Project planning and control

In order to ensure an effective and efficient design of an MIS, it is very important that a detailed design process should in itself be considered a complete project. Therefore, the first step in the detailed design is planning and controlling, so that standards may be established and a proper follow-up is made. Some of the main points, which are important in planning and control of a detailed design, are given below.

Project planning

1.      Formulate the project objectives.
2.      Define the project tasks.
3.      Prepare a network diagram of all events and activities so as to specify sequential and parallel events.
4.      Schedule the work as per the requirements of the user.
5.      Prepare a budget for the project.

Project control

    Get a feedback of the actual performance of the project with respect to time, cost and work of the project and compare it with schedules, budgets and technical plans.
    Take corrective action where required so as to maintain control.

2) Involve the user

System designers must inform the user regarding the new information system being developed and gain their support and acceptance. In this phase, users are assured that changes will benefit them or that they will not be at disadvantage because of the new system.

3) Detailed sub system definition

In detailed system design, every system needs to be broken down to ascertain all activities required and their respective inputs and outputs. In some of the cases, sub systems are broadly defined in the conceptual design phase, but at this stage they are specifically defined to work out every detail concerning the sub-system. Decomposition of the system to operational activities in general is carried out as follows.

System

               Sub System

                       Functional component

                               Task

                                    Sub Task

                                            Operation element
 

4) Output/Input Design

Having defined the subsystem well, by way of flow diagrams and a through discussion with the users of MIS, the system designers now define the specifications of outputs and inputs for each sub-system, in more detail. These specifications will later be used by programmers to develop programs to actually produce the output/input.

5) Feedback from the user

Having specifically defined sub-system, output and inputs, the designers once again involve the user to get feedback. This step will increase the acceptance of the MIS being designed. The system analyst should demonstrate the proposed MIS to the users of the system/sub-system. This step will also reassure the top management of the user organization that the detailed design project is processing as per plans.

1)      Database design 

A database is an orderly arrangement of all the records related to each other. It servers as a data resource for the MIS of an organization. To have optimum performance, storage and fast retrieval of data, database design is an important phase in the detailed design of a system. For designing a database, the designer should keep the following points in mind.

    Identify all data tables and record types.
    Identify fields for each table, the key fields for each table and relations between various tables.
    Determine the data type and width for each field of the tables.
    Normalize the data tables.
    Properly document data dictionary.

7) Procedure design

Procedures are the rules, standards or methods designed to increase the effectiveness of the information system. The procedures detail about the tasks to be performed in using the system. They serve as the ready recovers for the designers as well as for the users. Sometimes they perform the task of a supervisor over operators. There are a wide variety of procedures, which include:

    Data entry procedures.
    Run time procedures.
    Error handling procedures.
    Security and back up procedures.
    Software documenting procedures.

In designing procedures, designers should:

    Understand the purpose and quality standards of each procedures
    Develop a step-by-step direction for each procedure, and
    Document all the procedures.

8) Design Documentation 

Detailed design starts with the performance specifications given by the conceptual design and ends with a set of design specifications for the construction of MIS. The outputs from the detailed design, i.e. design specifications, are handed over to the programmers for writing codes to translate system specifications into a physical MIS. Therefore, the system analyst should very carefully document the detailed design. In fact, design documents should consist of comprehensive details of all the design phases. Design documentation of detailed design report, generally, consists of

    System objectives,
    Design constraints,
    Inputs/outputs,
    Data files,
    Procedures (manuals)
    Proposed system (a summery and detailed flow charts),
    Input/Output specifications,
    Program specifications,
    Database specifications,
    Cost of installation and implementation, and
    System test conditions.




Different Input Specifications in a Design

By Dinesh Thakur

Output from a system is regarded as the main determinant of the system’s performance, output from the system are affected by the input to the system.

Objective of Input Design

The main objectives, which guide the input design, are briefly discussed as below:

i) Control the volume of input data: Try to reduce data requirement and avoid capturing unnecessary data.
ii) Avoid processing delays data entry: Automating data capturing may reduce this delay.
iii) Avoid data entry errors: Check in the data entry programs, which are called input validation technique, may help.
iv) Keep the process simple: The system should be kept as simple and easy to use as possible.

Input layout

The input layout should contain the following

i) Heading and date of data entry.
ii) Data heading and value
iii) Data type and width of the column
iv) Initials of data entry operator.

Feedback from the user

Having specifically defined sub-systems output and inputs, the designers once again involve the user to get feedback.

Database Design

A database is an orderly arrangement of all the records related to each other. It serves as a data resource for the MIS of an organization. The designer should keep the following points in mind:

i)   Identify all data tables and record types
ii)  Identify fields for each table, the key fields for each table and relations between various tables.
iii) Determine the data type and width for each field of the tables
iv)  Normalize the data tables
v)   Properly document data dictionary

Procedure Design

Procedures are the rules, standards or methods designed to increase the effectiveness of the information system. The procedures detail about the tasks to be performed in using the system. There is a wide variety of procedure, which include:

i)   Data Entry Procedures: These are the methods designed for data entry e.g. data entry sequence.
ii)  Run Time Procedures: The actions to be taken by the users to achieve the intended results.
iii) Error-handling Procedures: These procedures help the user in detecting and correcting errors.
iv)  Software Documenting Procedures: The programmers get instructions on how to document the programs.

Conceptual Design of a System.

By Dinesh Thakur

In the conceptual design, the feasibility of meeting the management objectives for the MIS is assessed and a broad picture of the system is analyzed. It involves the following steps:

1) Define problem:

The first step in conceptual design is to clearly understand and define the problem to be solved. The information needs of the organization are to be identified and understood in this step, which can be determined by understanding the mission, objectives and operating plans for the business.

2) Set system objectives: 

System objectives should be stated in quantitative terms. For example, ‘pay salary to 100 percent employees by the last day of the month’.

3) Identify constraints:

System constraints may be classified into two categories:

a) External constraints

These are external to the organization. For example constraints imposed by the customers, the government and the suppliers.

b) Internal constraints

These are imposed from within the organization. For example, non-cooperation and lack of support from top management, resource constraints like manpower, time and money etc.

4) Determine information needs:

For determination of information needs, users should specify:

a)   What they want out of an information system and
b)   Items of information that are needed to achieve the predetermined  objectives.

5)   Determine information sources: 

Sources of information may be classified as given below:

a) Internal and external records:

The internal records may be in written form like files, inputs and outputs, correspondence, reports etc., whereas external records may include trade publications, government statistics, etc.

b) Managers and operating personnel:

User-managers and operating staff may be an important source. However, gathering data from the source involves interviewing the managers and operating personnel, which requires proper planning and skill.

6) Develop various designs: 

More than one alternative conceptual designs are to be developed which are compared to select the optimum one, which:

a) Meets the requirements of the users/organizations and
b) Is cost effective

Various criteria can be adopted as a basis for evaluating the designs such as economic, performance, operational etc.

7)  Documentation of the conceptual design:

The documentation involves:

a) Overall system flow
b) System inputs
c) System outputs, and
d) Other documentations like activity sheet and system description, etc.

8)  Report preparation:

The report prepared should mention the problem, objectives and an overall view of the system. Justifications for selecting the alternatives and many more.




different strategies for the requirement determination

By Dinesh Thakur

In order to collect information so as to study existing system and to determine information requirement, there are different strategies, which could be used for a purpose. These strategies are discussed below.

Interview

The interview is a face-to face method used for collecting the required data. In this method, a person (the interviewer) asks questions from the other person being interviewed may be formal or informal and the questions asked may be structured or unstructured. The interviewer must plan the interview and should have clear understanding of issues.
Questionnaire

A questionnaire is a term used for almost used for almost any tool that has questions to which individuals respond. The use of questionnaires allows analysts to collect information about various aspects of a system from a large number of persons. The questionnaire may contain structured or unstructured questions. The use of a standardized questionnaire gives more reliable data than other fact finding techniques.
Record Review

Record review is also known as review of documentation. Its main purpose is to establish quantitative information regarding volumes, frequencies, trends, ratios, etc. In record review, analysts examine information that has been recorded about the system and its users. Procedures, manuals and forms are useful sources for the analyst to study the existing systems. The main limitation of this approach is that the documentation on the existing system may not be complete and up-to-date.
Observation

Another information-gathering tool used in system studies is observation. It is the process of recognizing and noticing people, objects and occurrences to obtain information. Observation allows analysts to get information, which is difficult to obtain by any other fact-finding method. This approach is most useful when analysts need to observe the way documents are handled, processes are carried out and whether the specified steps are actually followed. This technique is time consuming and costly. Electronic observation and monitoring methods are being used these days because of their speed and efficiency.




decision analysis with examples

By Dinesh Thakur

In decision-making under risk, the probabilities of various states of nature are assumed to be known. Probabilities of the various states of nature are not known to the decision–maker and thus, he cannot apply the maximization/minimization of expected value criteria as in the case of decision under risk.

In such a decision problem, the following decision rules/criteria, depending upon the attitude of the decision maker, may be applied.

i)   Maximax rule or criterion of optimism.

ii)  Maximin rule or criterion of pessimism.

iii) Criterion of minimize regret, and

iv) Criterion of rationality

i)        Maximax or Criterion of Optimism

In this case, the decision-maker is of optimistic attitude and thus would select the strategy, which will provide him the greatest (max) pay-off under the most favorable or the best condition (max). In the above example, the decision-maker will select strategy S2 which will give him a maximum pay-off Rs.10 lakh for launching a new PC and for the same condition.

 

Strategies

States of nature

 

Same condition

New Competitor

Govt. Ban

(S1)  Modify

7

5

-5

(S2) New product

10

3

-13

(S3)   Do nothing

5

1

-2

 

Strategy               Maximum or the best pay-off

S1                                   7
S2                                   10 ß maximum pay-off
S3                                   5

ii) Maximin or Criterion of Pessimism

As the name of the criterion indicates, the decision maker is of pessimistic attitude and thus will select the strategy which will give him the highest pay-off (max) if the worst condition (min) occurs. Here, the decision–maker, being of pessimistic view, will not like to take any risk and thus will think about the safest position in the worst situation, Thus, the decision-maker will select strategy S3 since in the worst situation (government ban) he will sustain the minimum loss (Rs. 2 lakh) due to this decision.

Strategy                worst or the minimum pay-off

S1                                       -5
S2                                      -13
S3                                      -2ß minimum pay-off




Application of Decision Analysis

By Dinesh Thakur

The decision theory (decision analysis) refers to the techniques for analysis decisions under risk and uncertainty. In the process of decision-making the decision –maker wants to achieve something, which may be called his goal, purpose or objective. The decision –maker may choose one particular alternative, which is called strategy of the decision maker,from among various alternatives.

All alternative and outcomes are assumed to be known. There are certain factors, which affect the outcome for different strategies. But these factors or conditions, also called ‘states of nature, are beyond the control of the decision-maker. The strategy (alternative) along with the state of nature determines the degree to which the goal is actually achieved. A measure of achievement of the goal is called the ‘Pay-off’

The pay-off matrix is used as method of presenting data in decision – analysis. Each cell, which is an intersection of a strategy and a state of nature, contains the pay-off.

 

Strategies

States of nature

 

N1

N2

N3

N4

S1

 

 

 

 

S2

 

 

 

 

S3

 

 

 

 

 

If the state of nature is known with certainty, the decision –maker is required only to select the strategy that provides him the highest pay-off.

Let us explain the concept of the pay-off matrix by taking an example.

Assume that a marketing manager of a computer manufacturer is to choose from three alternatives.

1)      Modify the existing PC to improve its design and processing power.

2)      Launch a new PC having latest technology.

3)      Do nothing, i.e. leave the PC as it is.

There are three states of nature that affect the pay-off from each of the alternative strategies.

These states of nature are:

i)  A competitor may launch a new PC with latest technology.

ii) The government may impose high-excise duty on the manufacture of PCs and reduce excise to minimum on laptops to encourage the use of laptops.

iii) Condition will remain the same as they are.

The various pay-offs (profit or loss) from the combination of a strategy and a state of nature are given in the pay-off matrix in fig. 

           

Strategies

States of nature

 

Same condition

New Competitor 0.40

Govt. Ban 0.20

S1 Modify

7

5

-5

S2New product

10

3

-13

S3Do nothing

5

1

-2

It can be seen that there are three states of nature whose probabilities of occurrence is know. This problem situation is called decision under risk. The probabilities represent the likelihood of occurrence of the specific states of nature, either based on historical data or on personal judgment of the decision-maker. In the above example, the expected value (EV) of each strategy is:

EV of S1= (7)  (0.40)+(5)(0.40)+(-5)(0.20)

            =2.8+2.0-1.0=3.8

EV of S2= (10)(0.40)+(3)(0.40)+(-13)(0.20)

=4.0+1.2-2.6=2.6

EV of S3= (5)(0.40)+(1)(0.40)+(-2)(0.20)

=2.0+0.4-0.4=2.0

The maximum expected value 3.8 lakhs is found to be of the option to modify and if the decision is made based on the expected value objective function, the strategy S1 i.e. to modify the existing PC will be selected.




What are the different stages of system investigation? Explain

By Dinesh Thakur

Preliminary investigation is the first step in the system development project. It is a way of handling the user’s request to change, improve or enhance an existing system. System investigation includes the following two stages:

 1.      Problem definition:

The first responsibility of a system analyst is to prepare a written statement of the objectives of the problem. Based on interviews with the user, the analyst writes a brief description of his/her understanding of the problem and reviews it with both the groups. People respond to written statements. They ask for clarifications and they correct obvious errors or misunderstandings. That is why a clear statement of objectives is important. In other words, proper understanding of the problem is essential to discover the cause of the problem and to plan a directed investigation by asking questions like what is being done. Why? Is there an underlying reason different from the one the user identifies? Following are some possible definitions of problems:

 

a.      The existing system has a poor response time

b.      It is unable to handle the workload.

c.      The problem of cost, that is the economic system is not feasible.

d.      The problem of accuracy and reliability

e.      The required information is not produced by the existing system

f.        The problem of security.

2.      Feasibility study:

The actual meaning of feasibility is viability. This study is undertaken to know the likelihood of the system being useful to the organization. The aim of feasibility study is to assess alternative systems and to propose the most feasible and desirable system for development.

Thus, feasibility study provides an overview of the problem and acts as an important checkpoint that should be completed before committing more resources. The feasibility of a proposed system can be assessed in terms of four major categories as given below:

 

a)      Organizational feasibility: the extent to which a proposed information system supports the objective of the organization’s strategic plan for information systems determines the organizational feasibility of the system project.

b)      Economic feasibility: In this study, costs and returns are evaluated to know whether returns justify the investment in the system project.

c)      Technical feasibility: whether reliable hardware and software, capable of meeting the needs of the proposed system can be acquired or developed by the organizations in the required time is a major concern of the technical feasibility.

d)      Operational feasibility: the willingness and ability of the management, employees, customers, suppliers, etc to operate, use and support a proposed system come under operational feasibility. In other words, the test of operational feasibility asks if the system will work when it is developed and installed.




What are the Different System Development Stages? Discuss each of Them Briefly

By Dinesh Thakur

In order to develop a system successfully, it is managed by breaking the total development process into smaller basic activities or phases. Any system development process, in general, is understood to have the following phases.

• Investigation,
• Analysis,
• Design,
• Construction and testing,
• Implementation, and
• Maintenance.
A brief description of the above-mentioned stages is discussed as follows.

System Investigation

Some problem may be bothering a business organization. The managers in the organization (user) may not be very clear about the problem. Preliminary investigation is the first step in the system development project. The preliminary investigation is a way of handling the user’s request to change, improve or enhance an existing system. System investigation includes the following two sub-stages.

• Problem definition, and
• Feasibility study.

System Analysis

Analysis is a detailed study of the various operations of a business activity (system), along with its boundaries. The objective of this phase is to determine exactly what must be done to solve the problem. Many system analysts have a technical background. The temptation of many technically trained people is to move too quickly to program design, to become pre-maturely physical. System analysis involves a detailed study of:

• The information needs of the organization and its end users.
• Existing information systems (their activities, resources and products).
• The expected information system (in terms of capabilities of IS required to meet the information needs of users).

System Design

System analysis describes WHAT a system should do to meet the information needs of users. System design specifies HOW the system will accomplish this objective. The designing of the system refers to the technical specification that will be implied in constructing the system. The output of the system analysis phase is the input to the system design phase.

The System design should stress on the following three activities.

• User interface
• Data design, and
• Process design

Construction and Testing

Once the system specifications are understood, the system is physically created. The required programs are coded, debugged, and documented. The system should be tested with some test data to ensure its accuracy and reliability.  In fact, construction of the system takes place on the basis of the system design specifications.

Implementation

The system implementation stage involves hardware and software acquisition, site preparation, user training and installation of the system. Then testing of the system, involving all components and procedures should be done. It must be realized that implementation may be the most crucial phase of system.

Maintenance

System maintenance involves the monitoring, evaluating and modifying of a system to make desirable or necessary improvements. In other words, maintenance includes enhancements, modifications or any change from the original specifications.

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