10. Build to the Need, Not to the Sky

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New insurance systems should be designed for and built with business cases in mind. That means the most effective systems may serve only a limited range of products or processes.

 

07. Old Systems Can Limit the Value of New Data

New data sets may require new ways to house, analyze and process the information. Old systems may not be capabable of extracting the potential of new data sources.
 

02. The Race to Zero Input

As insurers gain better access to data, rapidly advancing predictive tools will lessen information demands on customers and prospects.
 

06. Effective Use of Data Requires Consistency, Integration

Insurers upgrading to a SaaS environment need to consider how the data they depend on will be integrated into new systems, and whether they're making best use of all data resources.
 

09. Succeeding With New Systems Is More Than a Tech Challenge

Any system that supports critical insurance functions needs support from the full range of organization operations and leadership.
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