On Demand Webinar

Bridging The Gap: How To Seamlessly Transition Insurance To The Platform Economy

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Event Description

The Platform Economy is driving a transition from an operational-focused to a customer-focused mindset. A customer-centric, platform-driven future will be enabled by a customer data centric approach. Industry data and capabilities, as a whole, are NOT prepared to support this transition. Learn how business-ready insurance data will help you bridge the gap to the platform-driven insurance market, with business cases:

  • Driving aligned behavior at the insured and channel level necessary for sticky, profitable growth;
  • Changing the competitive basis for pricing, rating and claims;
  • Doubling growth for Personal Lines, and doubling profitability for Commercial Lines.

The unified view of customer – putting customer-ready business data at the heart of an insurance operation – is essential to the future and is primarily a business issue, not a technical issue.  

We will explore what capabilities are required to understand your current readiness to use data strategically, and assess the paths to monetize data across the enterprise. We will discuss how data-ready organizations thrive with one foot in the operational world and one foot in the platform-driven future.

Speakers
James Barber, Information Builders
James Barber
Director P&C Insurance,
Information Builders

With 28 years of experience at both IBM and Information Builders, James leads insurance executive visioning and solution design efforts concentrating on our North American Insurance business. Leveraging pre-built insurance business warehouse applications and custom work to implement solutions that span all areas of: customer facing, channel facing, marketing, underwriting, pricing, reserving, claims, operations, and finance for a broad range of insurers. 

Peter Morris
Peter Morris
Director, Integration and Data Solutions, Information Builders

Peter Morris has worked at Information Builders with business intelligence, analytics, master data management, and big data for more than 25 years.

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