Data-Driven DSS Overview
A Data-Driven Decision Support System is an interactive computer-based system that helps decision-makers use a very large database of internal company data and in some systems data about the external environment of a company. For example, a system may have data on both a company’s sales and on its competitors’ sales. Some of the data is very detailed transaction data and some is a summary of transactions. In most implementations of Data-Driven DSS, users of the system can perform unplanned or ad hoc analyses and requests for data. In a Data-Driven DSS, managers process data to identify facts and to draw conclusions about data patterns and trends. Data-Driven DSS help managers retrieve, display, and analyze historical data.
This broad category of DSS helps users "drill down" for more detailed information, "drill up" to see a broader, more summarized view, and "slice and dice" to change the dimensions they are viewing. The results of "drilling" and "slicing and dicing" are presented in tables and charts.
We can define four main sub-categories of Data-Driven DSS; they are Data Warehouses, OLAP systems with multidimensional databases, Executive Information Systems, and Spatial Decision Support Systems.