Process mining is a data science and process management technique that's evolving with digital transformation business projects. Learn how process mining is impacting modern enterprises and business ...

No matter the size or scope of an organization, there is little question that everyone wants to find ways to improve their performance. Baseball teams use sabermetrics; companies often use the stock ...

Lucas M. Schroth and Urszula Jessen founded Process.Science to address inefficiencies in traditional data analysis. The company utilizes an AI-powered process mining platform that integrates ...

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.

Gaining a full understanding of agency business processes is essential as governments deploy more digital services to meet growing public needs. Agencies must have insights into existing processes ...

ProcessMind's new process simulation engine lets you build digital twins of your business processes and test changes ...

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 to ...

Data mining and knowledge discovery represent an integrative process through which large, complex and heterogeneous datasets are transformed into actionable insights. This field encompasses a series ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships. Organizations today are gathering ever-growing volumes of ...

Process mining software is poised to become the trusted, daily digital assistant for every business. For it to take the final step however, we must bring the power of it to find and capture value to ...

The key driver for the growth in the mortgage industry is customer satisfaction fueled by faster service and competitive time to market. The challenges with mortgage industry are heavy documentation, ...