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Analysis & BI terms
The BI platforms and the tools analysts open every morning.
Business intelligence (BI) The practice of turning company data into dashboards, reports and metrics that guide business decisions. Dashboard A visual display of the metrics a team needs to monitor, usually updated on a schedule or in real time. Data storytelling Combining data, visuals and narrative so an audience understands an analysis and knows what to do about it. Data visualization Representing data graphically so that patterns, trends and outliers are easier to see than in a table of numbers. Embedded analytics Charts, reports or dashboards built directly into another application instead of a separate BI tool. KPI (key performance indicator) A measurable value tracked over time to show whether a team or process is on track toward a goal. OLAP (online analytical processing) A category of technology optimized for fast, multi-dimensional aggregation and slicing of data for analysis. Process mining Reconstructing how a business process actually runs from system event logs rather than from how it is documented. Self-service BI BI tooling that lets business users build their own reports and explore data without waiting on IT or analytics teams. Semantic layer A layer that defines business metrics and dimensions once, centrally, so every tool and report uses the same numbers. Semantic search Search that matches results to a query's meaning rather than its exact keywords, using vector similarity between embeddings. What-if analysis Testing how a model's output changes when one or more input assumptions are changed, to explore specific alternative outcomes.