Everyone knows what data mining is, but the term “process mining” may be new to some. According to Gartner, process mining is a methodology used to discover, monitor and improve processes that already ...

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 ...

Seeking efficiencies and streamlining operations, businesses have been turning to AI-based automation. As they pursue this, they need a way to look beyond their assumed processes to improve their ...

Process mining and Generative AI are two powerful technologies that are revolutionizing the field of data science. Process mining involves extracting knowledge from event logs to gain insights into ...

Data mining has evolved from the esoteric domain of the mathematician to the expert statistician’s programming and workbench tools and, at last, to the realm of widely accessible business applications ...

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 ...

No business can be data-driven if the only people interested in data analysis are the analysts. Just as the guidance of accountants and attorneys shapes everyday business, analytics must be integrated ...

When global manufacturing giant Siemens created a central data lake, it had no idea it would generate such positive business benefits. Compliance was the main reason it started to collect data from ...

Data mining is a technology that is used for identifying patterns and ways from large quantities of data or other repositories. This technology works in a way that it adopts data integration method to ...

Identify the key components of and propose a real-world data mining project. Design and develop real-world solutions across the full data mining pipeline. Summarize and present the key findings of the ...