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  1. 1. MANAGEMENT INFORMATION SYSTEM (MIS) Topic Name :-executive information system & Decision support system 1 RAJEEV GANDHI COLLEGE OF MANAGEMENT STUDIES GHANSOLI, NAVI MUMBAI
  2. 2. GROUP MEMBERS  CHETAN SAPKALE----------------------  GURUDAS SAWALKAR----------------  PRASHANT GHARAT------------------17  SHASHANK SALVE---------------------61 2
  3. 3. Executive Information System (EIS) 3
  4. 4.  An executive information system is a type of management information system that facilitates and supports senior executive information and decision-making needs.  It provides easy access to internal and external information relevant to organizational goals.  EIS are enterprise-wide DSS that help top-level executives analyze, compare, and highlight trends in important variables so that they can monitor performance and identify opportunities and problems.  In recent years, the term EIS has lost popularity in favor of business intelligence . INTRODUCTION 4
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  6. 6. Components OF EIS EIS components can typically be classified as: 1) Hardware 2) Software 3) User interface 4) Telecommunications 6
  7. 7. Hardware The basic hardware needed for a typical EIS includes four components: 1) Input data-entry devices. These devices allow the executive to enter, verify, and update data immediately 2) The central processing unit, which is the kernel because it controls the other computer system components 3) Data storage files. The executive can use this part to save useful business information. 4) several EIS products for networked workstations became available. These systems require less support and less expensive computer hardware. 7
  8. 8. Software A typical EIS includes four software components: 1) Text-handling software—documents are typically text-based. 2) Graphic base—graphics can turn volumes of text and statistics into visual information for executives. 3) Typical graphic types are: time series charts,scatter diagrams, maps, motion graphics, sequence charts, and comparison-oriented graphs. 4) Model base—EIS models contain routine and special statistical, financial, and other quantitative analysis. 8
  9. 9. User interface An EIS must be efficient to retrieve relevant data for decision makers, so the user interface is very important. Several types of interfaces can be available to the EIS structure, such as  scheduled reports,  questions/answers,  menu driven,  command language,  natural language,  input/output. 9
  10. 10. Telecommunication  As decentralizing is becoming the current trend in companies, telecommunications will play a pivotal role in networked information systems.  Transmitting data from one place to another has become crucial for establishing a reliable network.  telecommunications within an EIS can accelerate the need for access to distributed data. 10
  11. 11. Applications OF ESI  EIS helps executives find those data according to user-defined criteria and promote information-based insight and understanding.  Unlike a traditional management information system presentation, EIS can distinguish between vital and seldom-used data, and track different key critical activities for executives,  both which are helpful in evaluating if the company is meeting its corporate objectives.  After realizing its advantages, people have applied EIS in many areas, especially, in manufacturing, marketing, and finance areas. 11
  12. 12. Advantages and disadvantages 12
  13. 13. Advantages of EIS  Provides timely delivery of company summary information.  Information that is provided is better understood.  EIS provides timely delivery of information.  Management can make decisions made promptly.  Improves tracking information  Offers efficiency to decision makers 13
  14. 14. Disadvantages of EIS 1) System dependent 2) Limited functionality, by design. 3) Information overload for some managers. 4) Benefits hard to quantify. 5) High implementation costs. 6) System may become slow, large, and hard to manage. 7) Need good internal processes for data management. 14
  15. 15. Decision support system (DSS) 15
  16. 16. INTRODUCTION  A decision support system (DSS) is a computer-based information system that supports business or organizational decision making activities.  DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance.  Decision support systems can be either fully computerized, human or a combination of both.  DSSs include knowledge-based systems. 16
  17. 17. Components Three fundamental components of a DSS architecture are :- 1) the database (or knowledge base), 2) the model (i.e., the decision context and user criteria), and 3) the user interface. 4) The users themselves are also important components of the architecture 17
  18. 18. Classification DSS components may be classified as: 1) Inputs: Factors, numbers, and characteristics to analyze 2) User Knowledge and Expertise: Inputs requiring manual analysis by the user 3) Outputs: Transformed data from which DSS "decisions" are generated 4) Decisions: Results generated by the DSS based on user criteria 18
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  20. 20. Applications  DSS is extensively used in business and management.  Executive dashboard and other business performance software allow faster decision making, identification of negative trends, and better allocation of business resources.  Due to DSS all the information from any organization is represented in the form of charts, graphs.  A growing area of DSS application, concepts, principles, and techniques is in agricultural production, marketing for sustainable development. 20
  21. 21. Benefits  Improves personal efficiency.  Speed up the process of decision making.  Increases organizational control.  Encourages exploration and discovery on the part of the decision maker.  Speeds up problem solving in an organization.  Facilitates interpersonal communication. 21
  22. 22.  Promotes learning or training.  Generates new evidence in support of a decision.  Creates a competitive advantage over competition.  Reveals new approaches to thinking about the problem space.  Helps automate managerial processes.  Create Innovative ideas to speed up the performance. 22
  23. 23. Any Questions ? 23
  24. 24. THANK YOU 24
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