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Insurance companies have access to more data than ever before. But turning all this data into insights that deliver advantages—like improving the accuracy of risk modeling, fraud detection and compliance reporting—requires preparation.

Cleaning up data prior to analysis may seem like mere janitorial work, but it can consume more than 80% of the time and resources of any data project.

This guide can help insurance providers radically accelerate the preparation of diverse data for analysis. It outlines an entirely new way to access, transform and blend diverse sources of data.

Download this guide to learn:

  • The six steps of data preparation: discover, structure, clean, enrich, validate, and publish
  • How Trifacta removes the data preparation IT bottleneck and creates radical productivity for data analysts
  • How data preparation yields faster analytic outcomes and new insights for insurance providers


""Trifacta brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.""

""We were actually able to shave the amount of time it took to do the analysis by [a factor of] six. Rather than having to do a tremendous amount of analysis, we’re actually readily able to start getting incremental data products out quickly.""