A guide to better data quality

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In this white paper, we’ll explore what we mean by ‘data quality’, why it’s fundamental to data projects such as AI and personalization, and how you can collect complete, accurate data.

  • The importance of well-defined schemas
  • How data ownership can influence data quality
  • The roles that validation and testing play in improving data quality


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