How does Business Intelligence (BI) primarily affect decision-making?

Business Intelligence (BI) primarily affects decision-making by providing data-driven insights. These insights are derived from analyzing large volumes of data collected from various sources within an organization. BI tools enable decision-makers to access real-time data, perform analytics, and visualize trends, which leads to more informed and accurate decisions.

When organizations leverage BI, they can identify patterns, forecast future trends, assess performance metrics, and detect anomalies. This analytical power transforms raw data into actionable insights, empowering leaders to make choices based on factual information rather than intuition or guesswork. Consequently, decision-making becomes more strategic and effective, rooted in evidence instead of relying solely on past experiences or instinctual approaches.

The other options do not accurately represent how BI supports decision-making processes. Focusing on instinctual decision-making undermines the analytical advantage that BI offers. The need for structured data is essential in BI to ensure accurate analytics, while communication enhanced without data overlooks the importance of insights derived from data analysis.