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Raising the Bar: An Assessment Framework for Big Data Analytics Programs (2015)

John Wilson, FLMI, AIRC, ACS; Norah Denley; Marianne Purushotham, FSA, MAAA; Eric T. Sondergeld, ASA, CFA 6/22/2015

LIMRA Technology Research

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Industry Issues

In order to overcome barriers to widespread adoption and implementation of an effective data strategy, companies need to assess not only individual aspects of their program, but also the interrelationships of those aspects. The actual ability to complete that analysis is often easier said than done. 

Key Takeaways

This report presents a framework for:

  1. Considering the various dimensions of a data analytics program,
  2. Evaluating the degree of maturity an organization has reached in each of those dimensions, and
  3. Identifying areas to improve in order to get to the next level of data analytics.

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Meet the Project Director

John Wilson, FLMI, AIRC, ACS
John R. Wilson, FLMI, AIRC, ACS is a Data Scientist with LIMRA. In addition to his role at LIMRA, he is an instructor-in-residence at the University of Connecticut (UCONN), where he teaches both graduate and undergraduate courses in visual analytics, engineering management, cost and risk management, and predictive modeling. Prior to joining LIMRA, Wilson had a more than 20-year career in retail. He earned a bachelor’s degree in political science from Central Connecticut State University and a master’s degree in business analytics and project management from UCONN, where he is a member of the UCONN School of Business Hall of Fame.

Data Scientist and Project Portfolio Coordinator
LIMRA
jwilson@limra.com


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