Data Analytics

Using a logical data fabric, insurance companies can apply a modern, agile approach that also allows them to streamline their data governance efforts.

Demand for data in today’s insurance companies is outpacing supply, and, in most cases, the throttle is organizational rather than technical.

Insurance must get beyond the hype of the "I" in AI and become more pragmatic in its use of AI/ML technologies for generating business insights.

Integrating a new feature, for example to provide dynamic quoting and pricing, usually takes months. Hyperautomation, such as low-code, provides robust solutions faster.

High-res data sees more than a shipment of glass: It sees a load of Gorilla Glass on clear summer roads or of crystal chandeliers on a pockmarked highway in a winter storm. 

Inflation, tight labor markets and economic volatility create a perfect storm for chief claims officers. The solution is advanced analytics.

While APIs have become commonplace, we are running into the danger of creating too many point-to-point tethered connections and losing the value that we had found.

Analytics are finally catching up to the vision, letting everyday business users harness the power of data through easy-to-use tools and advanced automation.