Business intelligence (BI) is a technology-driven process for analyzing data and presenting actionable information to help executives, managers and other corporate end users make informed business decisions.
Collaborative BI (collaborative business intelligence) is the merging of business intelligence software with collaboration tools, including social and Web 2.0 technologies, to support improved data-driven decision making.
A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals.
Key performance indicators (KPIs) are business metrics used by corporate executives and other managers to track and analyze factors deemed crucial to the success of an organization.
Location intelligence (LI) is a business analysis tool capability that enables companies to gather geographic- and location-related data to better understand global, regional and local business trends.
Process intelligence is data that has been systematically collected to analyze the individual steps within a business process or operational workflow.
The self-service approach lets end users create personalized reports and analytical queries while freeing up IT staffers to focus on other tasks – potentially benefiting both groups.