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1 SCIENCE PASSION TECHNOLOGYData Integration and Analysis 04 Schema Matching and Mapping Matthias Böhm Graz University of Technology, Austria Computer Science and Biomedical Engineering Institute
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Data integration and analysis refers to the process of combining data from different sources and analyzing it to extract meaningful insights, identify trends, and support decision-making.
Organizations, businesses, and individuals that collect or utilize large sets of data for reporting, compliance, or analytical purposes are typically required to file data integration and analysis.
To fill out data integration and analysis, gather all relevant data from various sources, organize it systematically, and input it into the required format or system, ensuring accuracy and completeness.
The purpose of data integration and analysis is to provide a comprehensive view of data from multiple sources, improve decision-making, enhance operational efficiency, and ensure compliance with regulations.
Information typically required includes data source details, methodologies used for integration, analysis results, and any significant findings or recommendations based on the analysis.
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