Birst BI

OCTOBER 30, 2018

Every day, these companies pose questions such as: Will this new client provide a good return on investment, relative to the potential risk? Is this existing client a termination risk? Today, the most common usage of business intelligence is for the production of descriptive analytics. .

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

datapine

MARCH 25, 2022

While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. For kicks, try calculating this kind of metric within your own organization.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Jet Global

MAY 1, 2023

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. Taking non-commercial applications to the next level of analysis can be widely helpful.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52