A DSS database is a collection of:

A Decision Support System (DSS) database is designed to facilitate analysis and decision-making by providing a coherent collection of data that is relevant to specific business processes. A DSS database typically integrates current data, historical records, and information from various applications or organizational departments. This diverse integration allows decision-makers to analyze trends, compare figures, and extract insights that would support strategic choices.

The inclusion of both current and historical data is essential because it allows users to see how variables behave over time, which is critical for making informed projections and decisions. By pulling information from multiple sources, the database can present a more comprehensive view of the situation, enabling better analysis and decision-making processes. This multifaceted approach is what makes the DSS database particularly powerful for organizational strategy.

In contrast, the other options focus on more limited data sets or specific types of data. While historical data from transaction processing systems is important, it does not capture the breadth of current data across different applications, and similarly, while external data contributes valuable context, it does not encompass the internal data that a DSS needs to provide a complete analysis. Finally, focusing solely on current transaction data lacks the depth of historical analysis required for effective decision support. Thus, the second choice most accurately reflects the comprehensive nature of a