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Using Data Prep for Insurance Claims Analytics

Using Data Prep for Insurance Claims Analytics

As an insurance professional, you may have found it difficult to accelerate common claims analysis tasks such as risk modeling and loss forecasting. You may have even used manual approaches such as leveraging excel or hand-code. However, industry leaders such as New York Life, Chubb and Enstar have found new levels of efficiency utilizing a data preparation platform.

Watch this demo on Trifacta to learn:

  • How to develop an end-to-end data preparation workflow
  • Techniques for more quickly identify claims differences across prior years
  • Automating data pipelines developed in Trifacta to feed operational systems