How we can differentiate data driven DSS and model driven DSS?
Also, what is a model driven DSS?
Model-driven DSS include computerized systems that use accounting and financial models, representational models, and/or optimization models to assist in decision-making. Model-driven DSS use data and parameters provided by decision-makers to help in analyzing a situation, but such systems are not data intensive.
Also, what are the major types of models used in DSS? File drawer models are very simple models that merely present data in an organized format. Analytical models take the data and process it using a computational proves, to provide estimates the outcome of a decision.
Correspondingly, what is a data driven DSS?
Data-driven DSS is a type of DSS that emphasizes access to and manipulation of a time-series of internal company data and sometimes external data. A Data Warehouse is a database designed to support decision making in organizations.
Is the enterprise data warehouse part of a data driven decision support system?
No, a data warehouse is not a Decision Support System. A data warehouse is however usually the "driver" and dominant component for a Data-driven DSS. A data warehouse is an organized collection of large amounts of structured data. It is a database designed and intended to support decision making in organizations.