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Accelerating the Value of Big Data Analytics for P&C Insurers

Recorded on January 22nd, 2015

As the Big Data Analytics and the Apache Hadoop ecosystem has matured and gained increasing traction in established industries with faster adoption in the insurance market than originally anticipated, it is clear that the potential benefits for data management and business intelligence are staggering. At the same time, many big data programs have stalled or failed to deliver on their aspirational value proposition, resulting in a substantial gap between expectations of analytics consumers and the ability of big data analytics programs to deliver.

Join Hortonworks and Clarity as we review the common needs of Property and Casualty (P&C) Insurers and how to unlock the true value of big data analytics:

  • Information agility – Centralization of data and decentralization of analysis
  • Expanded capability – Conventional analysis combined with real-time analytics demands
  • Reduced expense – Lower costs through cheaper storage while maintaining scalability

We will discuss a modern data architecture that constitutes a mature, enterprise strength Hadoop framework for P&C Insurers that answers the need for governance processes across the enterprise stack. We will cover how a modern data architecture allows organizations to collect, store, analyze and manipulate massive quantities of data on their own terms—regardless of the source of that data – accelerating the real lifetime value of big data and Hadoop analytics for claims, customer sentiment and telematics.


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