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An in-depth exploration of the emerging need for self-service data quality solutions in Insurance.


This white paper covers trends and technologies bringing data quality functions closer to data stewards and business users, including:

  • Leveraging Automation To Deliver Efficiencies
    • “As much as 70% of a highly qualified analyst’s time is spent locating and fixing the data”
  • The Importance of C-Level Buy-In
    • “While the Insurance industry faces a plethora of challenges with data and analytics, it’s imperative that executives recognize that the quality of the data is fundamental to capitalising on market opportunities.”
  • Preparing Data For The AI Driven Future
    • “AI data scientists can spend up to 80% of their time just preparing input data for machine learning algorithms, which is a huge waste of their expertise”

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With Snowflake connectivity, SQL rule wizard and the ability to bulk assign data quality breaks, ADQ 1.4 makes end-to-end data quality management even easier.