Vendors
日本語
search
  2. //
  3. Reports & insights
  4. //
  5. Chartis' New Chief Scientific Officer Position

Chartis' New Chief Scientific Officer Position

Create a vendor selection project
Click to express your interest in this report
Indication of coverage against your requirements
A subscription is required to activate this feature. Contact us for more info.
Celent have reviewed this profile and believe it to be accurate.
We are waiting for the vendor to publish their solution profile. Contact us or request the RFX.
Projects allow you to export Registered Vendor details and survey responses for analysis outside of Marsh CND. Please refer to the Marsh CND User Guide for detailed instructions.
Download Registered Vendor Survey responses as PDF
Contact vendor directly with specific questions (ie. pricing, capacity, etc)
11 January 2012
Donald Light

The creation of a Chief Science Officer position at Chartis may be an inflection point in how analytics are used in insurers. By now all large insurers (as well as many midsize and smaller insurers) have made, and are making analytics investments.

There are three basic elements in analytics:data, tools, staff skills. For an insurer's analytics investment to pay off, insurers must get better at building deep and accessible data sets, using available tools, and balancing enterprise and lines of business skills.

With the creation of the Chief Science Officer position, Chartis is making a commitment on all three fronts. Other insurers are likely to follow.

Comments

  • That has to be a first! I agree with you on the data,tools and staff skills but I would also add process. Insurers of all shapes and sizes need to build this analysis into everything they do.

  • We had the pleasure of working with Murli Buluswar at Farmers where he was in charge of measuring and improving customer experience. It is not just the creation of the position, but finding the right person AND funding the initiative that matters.

    I like your 3 building blocks (data, tools and people). It does not take long to convince an actuary that post facto analytics drive predictive analytics (the past tends to re-produce itself in the future) but few practitioners understand how embedded analytics drive human behavior. Murli is one of those rare visionaries.

    James Mitchell
    Principal Consultant
    Consulting & Systems Integration
    Infosys
    +1-410-703-9208 (mobile)
    James_mitchell@infosys.com