Descriptive Analytics. If you want to know what happened, use descriptive analytics. Until recently, this is how most companies used data—to see what had happened in the past.

In Analytics there are four main types; Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, and Prescriptive Analytics. Why Is Descriptive Analysis Important? As a result, descriptive ...

Descriptive analytics is rule-based—more directly, "somebody has to program the rules," according to Boris Evelson, vice president and principal analyst at Forrester.

Descriptive analytics is the process of parsing historical data to better understand the changes that occur in a business. Using a range of historical data and benchmarking, decision-makers obtain ...

What Information Is Provided By The Descriptive Analytics Employed At Your Organization? A descriptive analysis can be useful in identifying an organization’s strengths and weaknesses. Description ...

The shift isn’t easy, and we aren’t there yet. Recently, my company, Snowflake, partnered with Harvard Business Review Analytic Services to conduct a survey of 729 Harvard Business Review ...

Moving Beyond Descriptive Analytics. Once set up, the catalog and data literacy curriculum can be systematically rolled out across business units. The typical roll-out includes onboarding courses that ...

Four objectives are descriptive, but the second and third objectives require analytic quantification of associations between perioperative complications and 30-day mortality. For descriptive ...

Analytical approaches that incorporate predictive models have begun to displace merely descriptive approaches. Descriptive analytics, which continue to be valuable for many users, have evolved as ...

Across the entire JMC enterprise, analysts are using descriptive analytics to manage munitions in JMC’s core competencies of production, distribution, storage, and demilitarization.