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Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization. Each applications has its own datamodel.
New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log DataModel for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.
This structured organization facilitates insightful analysis, allowing you to drill down into specific details and uncover hidden relationships within your data. DataMining and Reporting Data warehouses are not passive repositories. Embrace a well-structured datamodel that aligns with your business needs.
Perform data transformations, such as merging, filtering, and aggregating dataData Analysis and Modeling Analyze data using statistical techniques, datamining, and predictive modeling.
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