What are tools used for analyzing and accessing large amounts of data to enhance business decision-making called?

Business intelligence refers to the technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. The primary purpose of business intelligence is to support better business decision-making. This encompasses a wide range of tools and systems that play a crucial role in gathering, analyzing, and visualizing data from various sources to provide actionable insights.

Business intelligence systems leverage data warehouses and various analytical tools to help organizations make informed choices based on data-driven evidence rather than intuition or guesswork. This includes reporting tools, dashboards, and data visualization techniques that allow businesses to understand their performance and identify trends.

In contrast, while tools related to decision support systems (DSS), online analytical processing (OLAP), and data mining are all critical components in the realm of data analysis, they serve different specific purposes or are subsets within the broader umbrella of business intelligence. DSS focuses primarily on aiding in decision-making processes, OLAP deals with analyzing data stored in data warehouses, and data mining is concerned with discovering patterns and knowledge from large amounts of data. Business intelligence acts as the comprehensive framework that encompasses these various tools to enhance overall decision-making capabilities.