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Emerging and changing risks bring new challenges, it's about the right insurance coverage for the risk.

We are in the digital age of “connected cars, connected homes & connected lives”. Insurance carriers of all types – life, non-life (P&C) or reinsurers – are experiencing massive transformations in the way they conduct business. These factors change risk patterns, assessment and impact claims costs. What is behind all of this is “data”!

Key Use Cases
  • General Insurance (P&C, Non-Life)
  • Life Insurance
  • Reinsurance

General Insurance (P&C, Non-Life)

InsurTech and the changing risk landscape is driving P&C Insurance companies to explore and leverage new and existing data sources. Real-time IoT data from weather, seismic, drones, news feeds, sensors, and social coupled with machine learning is making their customer safer with preventive analytics.

Life Insurance

The Connected World is redefining the age of the Customer. One of the biggest opportunities for Life insurance companies is how to leverage data to better know, understand and provide customers with the right lifestyle-based coverages and financial products for peace of mind.



As a reinsurer there is constant change and new factors impacting the risk portfolio. Do you write more or less of the same, or look for new risks? Equipping underwriters with insights from new IoT device data sources and monitoring or listening to risk variables is critical to profitability and solvency.

Transamerica: Using Deeper Customer Insight to Personalize Customer Solutions

Read the case study


Allstate uses Cloudera platform to complement existing system and add predictive and prescriptive analytics.

Watch the video

Zurich Insurance

Using data insights to deliver personalised services, custom policies and reduce risk.

Read the case study


Digital shift in Insurance: How is the industry responding with the influx of Big Data, Analytics and AI?

Case Study

Octo Telematics: Transforming insurance services with 170 billion miles of data from connected cars

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