CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Birst BI

OCTOBER 30, 2018

An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. While descriptive analytics are focused on historical performance, predictive analytics are about predicting future outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Domino Data Lab

JUNE 2, 2019

If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters. Being model-driven is like using GPS.”. “If Don’t be hesitant to be proactive.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52