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Data Mesh Architecture on Cloud for BI, Data Science and Process Mining

Data Science Blog

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 data model.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

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 Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Exploring the Power of Data Warehouse Functionality

Pickl AI

This structured organization facilitates insightful analysis, allowing you to drill down into specific details and uncover hidden relationships within your data. Data Mining and Reporting Data warehouses are not passive repositories. Embrace a well-structured data model that aligns with your business needs.

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Benefits of Learning Tableau for Data Analysts

Pickl AI

Perform data transformations, such as merging, filtering, and aggregating data Data Analysis and Modeling Analyze data using statistical techniques, data mining, and predictive modeling.