The Characteristics of Dss and Bi

Topics: Decision support system, Decision theory, Data warehouse Pages: 8 (2247 words) Published: April 27, 2009





Final Assignment

Topic (Question): Please study in detail on the characteristics of DSS and BI and explain why DSS were developed mostly in the academic world; and BI were developed mostly by software companies?

Student name: Nguyen Huu Hoang Tho
ID: 97731331

Table of Contents

1 Background2

2 Content2

Model-driven DSS4

Data-driven DSS4

Business Intelligence5

Analysis of the DSS-BI connection6

3 Conclusion7

4 Reference8

The characteristics of DSS and BI


Nowadays, firms are changing and becoming digital firms. If the digital firm is a house, the data warehouse is the foundation and the most important part. In this body of the house, business applications such as (Enterprise resource planning (ERP),Customer relationship management (CRM), Supply chain management (SCM)...are places occuring many actions of firms such as managing, organizing, carrying on business... Business Intelligence (BI), Decision support system (DSS), and Executive support system (ESS) are top of the house(roof), they are knowledge, mind and power of competition of the firm. They support organization in order to make the right decision. In this assignment, we will discuss DSS, BI and explain why DSS are developed mostly in the academic; and BI are developed mostly by software companies.

2 Content
First, we will study DSS and then BI. Researching will begin with history view of DSS. However, before entering history of DSS, we will see some characteristics about DSS. Decision-support systems serve the management level of the organization. DSS help managers make decisions that are unique, rapidly changing, and not easily specified in advance. They address problems where the procedure for arriving at a solution may not be fully predefined in advance. Although DSS use internal information from TPS and MIS, they often bring in information from external sources, such as current stock prices or product prices of competitors. Clearly, by design, DSS have more analytical power than other systems. They use a variety of models to analyze data, or they condense large amounts of data into a form in which they can be analyzed by decision makers. DSS are designed so that users can work with them directly; these systems explicitly include user- friendly software. DSS are interactive; the user can change assumptions, ask new questions, and include new data. From studying history of DSS, characteristics of DSS and BI, we will realize that BI is a model-driven DSS and focuses on helping users make better business decisions. First, we will have a research on Decision Support Systems Origins. The earliest DSS used small subsets of corporate data and were heavily model driven. Recent advances in computer processing and database technology have expanded the definition of a DSS to include systems that can support decision making by analyzing vast quantities of data, including firmwide data from enterprise systems and transaction data from the Web. Today, there are many types of decision-support systems such as Model- driven DSS, data-driven DSS,  Communications-driven DSS, Document-driven DSS, Knowledge-driven DSS, Web-based DSS. Information Systems researchers and technologists have built and investigated Decision Support Systems (DSS) for approximately 40 years. The developments in DSS beginning with building model-driven DSS in the late 1960s, theory developments in the 1970s, and the implementation of financial planning systems, spreadsheet DSS and Group DSS in the early and mid 80s. Data warehouses, Executive Information Systems, OLAP and Business...
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