BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

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. In business analytics, this is the purview of business intelligence (BI). It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 40

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 40

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

Sisense

JUNE 30, 2020

Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. Identify those most at risk or most affected by a problem more accurately by using predictive analytics. The model has been shown to be effective in preventing the screening-out of at-risk children.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52