CIO Business Intelligence

NOVEMBER 14, 2022

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. Forecasting models. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data mining 125

Data mining Data-driven Statistics OLAP 125

IBM Big Data Hub

DECEMBER 7, 2023

Online analytical processing (OLAP) database systems and artificial intelligence (AI) complement each other and can help enhance data analysis and decision-making when used in tandem. As AI techniques continue to evolve, innovative applications in the OLAP domain are anticipated.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Jen Stirrup

OCTOBER 30, 2022

One particular technology which is good for summarising and aggregating data is called OLAP (On Line Analytical Processing). Historical analytics can help to support the marketing process, which can also be augmented by predictive analytics, alternatively known as data mining, which can help to identify patterns in customer behavior.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Diagnostic Analytics: No longer just describing. Predictive Analytics: If x, then y (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52