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 ...

Process mining is a data science and process management technique that's evolving with digital transformation. Learn about its impact.

Data mining is the process of transforming raw data into actionable information for business, typically using data mining software solutions.

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.

Data mining can use machine-learning algorithms as part of its process, but machine learning is a broader field that encompasses a range of techniques for automated learning and decision-making.

It’s called process improvement and it’s been around a long time. Process mining goes a step further—it combines the discipline of process improvement with data mining and AI.

For enterprises, processes are the "lifeline" of operations, but traditional process optimization often falls into the dilemma of "judging by experience and relying on manual sorting"—the financial ...

Process mining is now part of Microsoft’s process automation suite, giving you the KPIs and visualizations you need to identify bottlenecks in both manual workflows and software processes.

Process mining vendor Celonis has today launched a range of new features that aim to extend process mining beyond individual processes, as well as open up its platform to a broad range of users.

Recent UiPath Process Mining enhancements include customizing data transformations and integrations across the UiPath suite of products to speed up implementation and analysis.