Jet Global

JUNE 5, 2019

But data alone is not the answer—without a means to interact with the data and extract meaningful insight, it’s essentially useless. Business intelligence (BI) software can help by combining online analytical processing (OLAP), location intelligence, enterprise reporting, and more. Let’s introduce the concept of data mining.

Data mining 75

Data mining Business Intelligence OLAP Key Performance Indicator 75

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 141

Data mining Data-driven Statistics OLAP 141

Jen Stirrup

OCTOBER 30, 2022

What distinguishes Data Mining from other methods of exploring data, and what is its usefulness? Critics might say that if you torture the data enough, it will eventually confess! Computers contain lots of data, but people need help to turn this data into intelligence.

Data mining 52

Data mining Predictive Analytics Cost-Benefit OLAP 52

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” These sit on top of data warehouses that are strictly governed by IT departments. Standalone is a thing of the past. Requirement ODBC/JDBC Used for connectivity.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52