Dss - Final - Ppt 2

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Transcript of Dss - Final - Ppt 2

DECISION SUPPORT SYSTEM

GROUP MEMBERS

MIS - DSS

SR NO MEMBERS ROLL NO1. Madhur Wadhavane 09060

2. Ashok Kumar Singh 09033

3. Manisha Singh 09004

4. Atul Sahu 09103

5. Abhijeet Rajeshirke 09041

6. Ankit Pareek 09006

7. Pankaj Kumar 09080

8. Vivek Mota 09057

9. Sheetal Jawale 09001

10. Harjendar Arora 09037

11. Jayesh Sawant 09055

12. Prashant Patil 09028

OBJECTIVES

Explain the concept and purpose of a marketing decision support system.

Define marketing research and explain its importance to marketing decision making.

Describe the steps involved in conducting a marketing research project.

Discuss the profound impact of the Internet on marketing research.

Discuss the growing importance of scanner-based research.

INTRODUCTION

Computerized decision support systems became practical with the development of minicomputers.

The implementation of such systems begins in the mid-1960s.

Researchers used multiple frameworks to help build and understand these systems.

Processing (OLAP), Business Intelligence, group DSS, conferencing and groupware, document management all of these technologies have been used to support decision making

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HISTORY

According to Keen (1978) the concept of decision support has evolved from two main areas of research:

The theoretical studies of organizational decision making done at the Carnegie Institute of Technology during the late 1950s and early 1960s.

The technical work on interactive computer systems, mainly carried out at the Massachusetts Institute of Technology in the 1960s.

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In the 1970s DSS was described as "a computer based system to aid decision making".

In 1987 Decision support system is credited with significantly reducing travel delays by aiding the management of ground operations at various airports, beginning with O'Hare International Airport in Chicago and Stapleton Airport in Denver Colorado.

Information Systems researchers and technologists have built and investigated Decision Support Systems (DSS) for approximately 40 years.

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DEFINITION OF DSS

A Decision Support System (DSS) is an umbrella term used to describe any computer application that enhances the user’s ability to make decisions.

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DECISION SUPPORT SYSTEM – WHY?

Fast computation

Enhance productivity

Data Transmission

Better decision

Competitive Edge

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CHARACTERISTICS AND CAPABILITIES OF DSS

Semi-structured programs

For managers at different level

For groups and individuals

Interdependent or sequential decision

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Support intelligence, design and choice

Adaptability and flexibility

Effectiveness not efficiency

Human control the machine

Ease of construction by end uses

Modeling and analysis

CHARACTERISTICS AND CAPABILITIES OF DSS

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CLASSIFYING DSS

There are several ways to classify DSS applications. Not every DSS fits neatly into one category, but a mix of two or more architecture in one.

Hollsopple and Whinstone classify DSS into the following six frameworks:

Text-Oriented DSS, Spreadsheet-Oriented DSS, Solver-Oriented DSS, Rule-Oriented DSS & Compound DSS.

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The support given by DSS can be separated into three distinct, interrelated categories :-

Personal Support,

Group Support

Organizational Support.

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DSS components may be classified as:

Inputs: Factors, numbers, and characteristics to analyze

User Knowledge and Expertise: Inputs requiring manual analysis by the user

Outputs: Transformed data from which DSS "decisions" are generated

Decisions: Results generated by the DSS based on user criteria

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TYPES OF DSS

Communications Driven DSS

Data-Driven DSS

Document-Driven DSS

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TYPES OF DSS

Knowledge-Driven DSS.

Model-Driven DSS.

Spreadsheet-based DSS .

Web-based DSS.

Enterprise-wide DSS.

Desktop DSS.

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APPLICATION OF DSS

Clinical decision support system for medical diagnosis

(CDSS).

DSS growing in agricultural production.

DSS in forest management.

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BENEFITS OF DSS

1.Improves personal efficiency

2.Expedites problem solving

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3. Facilitates interpersonal communication

4. Promotes learning or training

BENEFITS OF DSS

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5. Increases organizational

control

6. Generates new evidence

in support of a

decision

BENEFITS OF DSS

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INGREDIENTS FOR DSS SUCCESS

FOR DSS SUCCESS:-

I. Management Support.

II. Users Involved in Design & Development.

III.Early Benefits Shown

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DIFFERENCE BETWEEN MIS AND DSS

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FACTORS

Problem type Users Support Emphasis Approach

System Speed Output Development

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DSS AT PEPSI CO

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PepsiCo and Sedgwick James Inc, the world second largest insurance broker, developed a risk management DSS to help minimize PepsiCo’s losses from accident, theft and other causes. Every week, Sedgwick loads the latest casualty claims data from the nation’s leading insurance carriers into a DSS database resident on IBM RS /6000 server in the PepsiCo intranet. The database is then accessed by mangers and analysts using desktop PCs and remote laptops equipped with the INFORM risk management system. Both the RS/6000 server and local PCs use information builders’ middleman to provide PepsiCo mangers and business analysts with transparent data access from a variety of hardware/software configuration.

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CONCLUSION

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THANK YOU