2005, Data mining, Forecasting and Marketing

Data Mining – useful or not?

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

Data mining Predictive Analytics Cost-Benefit OLAP

Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

JULY 22, 2016

Or when Tableau and Qlik’s serious entry into the market circa 2004-2005 set in motion a seismic market shift from IT to the business user creating the wave of what was to become the modern BI disruption. Gartner revamped the BI and Analytics Magic Quadrant in 2016 to reflect the mainstreaming of this market disruption.

Analytics

Analytics Business Intelligence Metadata Statistics

Data Leaders Brief

Data Mining – useful or not?

Modernize Using The BI & Analytics Magic Quadrant

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