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”