Data Preparation, Enrichment, and Performance

  • Media Article
  • Publisher : Yellowfin BI
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This guide from Yellowfin outlines best practices for ensuring high-quality data in business intelligence (BI) systems, focusing on the entire data preparation pipeline. The article explains the steps involved in collecting, cleansing, transforming, and enriching raw data to make it suitable for analysis. It stresses the importance of data governance, clear documentation, and streamlined workflows in optimizing BI outcomes. The guide also provides strategies for improving the performance and accuracy of BI systems, ensuring that organizations can derive actionable insights from their data.

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Data Science for social impact

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