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

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters.

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. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52