Decision-making analysis was conducted by the Carnegie Institute of Technology in the late 1950s and early 1960s. The Massachusetts Institute of Technology (MIT) applied computer technology to decision-making theory in the 1960s. By the 1980s, intensive research on DSS was underway, and new theories and concepts emerged from single-user models of DSS, including organizational decision support systems (ODSSs), group decision support systems (GDSSs) and executive information systems (EISs). By 1990 DSS was broadened to include data warehousing and online analytical processing. Typical information gathered by a DSS may include:
Projected revenue and sales figures, some based on new product sales projections Comparative sales figures between selected time periods Inventory data organized into relational databases for timely analysis
In some DSS applications, timely analysis includes the consequences of different decision alternatives. DSS applications are used in many diverse fields, including medical diagnosis, credit loan verification, evaluating bids on engineering projects, business and business management, agricultural production at the farm and policy levels, forest management and railroad (for evaluation of defective rails).