The Cross-Industry Standard Process for Data Mining, better known as CRISP-DM, has been around for more than a decade, and it’s by far the most widely-used analytics process standard.

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety of industries.

The company utilizes an AI-powered process mining platform that integrates seamlessly with business intelligence tools.

What Is Data Mining? Data mining is the process of searching and analyzing a large batch of raw data in order to identify patterns and extract useful information.

This is the age of the internet. As William Gibson’s haunting imagination of cyberspace comes to insipid life, we are blown into the new era of virtual networking, learning and earning.

Data mining, sometimes called knowledge discovery, is the process of sifting large volumes of data for correlations, patterns, and trends.

Process mining puts an intelligent layer on top of systems, giving businesses a real-time, continuously updated X-ray of how their processes really work.

Tajudeen Abbas, speaker of the house of representatives, says the lower chamber will introduce stricter licensing procedures ...

The state of Oklahoma has embraced a relatively new form of data analysis called process mining, and its experiences could guide how other governments find ways to squeeze more value from ...

How Process Mining Uncovers Workflow Bottlenecks Understanding how processes operate across technology stacks and departments can help agencies weed out inefficiencies.