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.

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools ...

Simply put, data mining is the process of using algorithms and other digital analysis techniques to analyze enormous volumes of data (via IBM).

Process data mining is more targeted because it aids in understanding the processes used within the DevOps team. Ideally, process data mining allows seeing the big picture, plus looking at things on a ...

Process mining software—the largest player here is Celonis—will offer visual representations of a company's processes and data flow while highlighting the pieces that are most inefficient.

Data mining pioneer Tom Khabaza has identified 9 "Laws" to help you understand how data mining really works.

Process mining helps organizations gather insightful data to evaluate the reliability, efficiency and productivity of business processes throughout the company.

With a blend of data science and process improvement, CIOs are mining data to transform business processes for efficiency, improved resource allocation, and better results.

Data mining and computer simulation can be used together to better model and improve industrial processes, city development and other complex systems.