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Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictiveanalytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? Examples of business analytics. This is the purview of BI.
Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analyticsPredictiveanalytics: Predictiveanalytics helps to identify trends, correlations and causation within one or more datasets.
Consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit. The result is a consistent enterprise view that enables users with self-service analytics through world-class dashboards, drill-down reporting, visual discovery, mobile tools, and predictiveanalytics.
Business End-User Benefits Embedding analytics into essential applications makes analytics more pervasive. As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Visual Analytics Users are given data from which they can uncover new insights.
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