Which capability can a decision support system effectively analyze and interpret?

A decision support system (DSS) is specifically designed to assist with complex decision-making tasks by analyzing and interpreting data to provide actionable insights. One of its primary strengths is handling vast amounts of data, particularly when that data is rapidly changing. This capability allows organizations to respond swiftly to evolving conditions, making it ideal for environments where market trends, customer behaviors, or operational metrics can change quickly.

In contrast, the ability to analyze a small set of static data (the first option) limits the effectiveness of a DSS, as decision-making often requires a wider context and volume of information. Analyzing data exclusively from spreadsheets (the third option) restricts the system to a specific format, which can hinder its versatility and analytical power. The focus solely on historical data (the fourth option) overlooks the necessity of real-time or current data analysis that informs immediate and future decisions.

Thus, the correct choice emphasizes the strength of a decision support system in dealing with large amounts of rapidly changing data, which is crucial for making timely and informed decisions in dynamic environments.