Data Quality

Lantrasoft helped its Insurance Customer improve the turnaround time on the Business Impact Requests by 2.5x times earlier

Customer Overview

Leading Online Insurance provider in the U.S. in a highly competitive market with huge customer base and very high volume of business transactions on a daily basis.

Business Requirement

  • Improve turnaround time on the Data Quality – Production Impact Requests.
  • Address ageing requests to provide timely services to several thousand policy holders and end-customers.

Challenges Faced

  • Evolving business requirements on the Impact Request
  • Availability of the Business Users for solution review and approval
  • Cross-functional coordination
  • Lack of domain knowledge to a certain extent

Our Approach and Best Practices to overcome the challenges

  • Understand and document the DB Objects and Schema in the backend
  • Arrive at a mapped view of the Schema to business rules/code logic
  • Apply business rule/logic from the documentation for each Impact Request
  • Onsite training followed by internal knowledge sharing sessions
  • 8x5 Support -> 24x6 Support
  • For enhanced interaction and coordination between the requesting and the servicing teams.

Production Impact Requests – Some sample scenarios

  • Policy retention discounts
  • Campaign benefits not applied
  • Sales Agent Application – Data sync issues
  • Batch Job failures

Results Achieved

  • Less than 5 days closure TAT improved from 51% to ~ 90%
  • Ageing requests beyond 5 days reduced from 49% to ~ 10%
  • Dependencies for the 10% are –
  • Availability of the Business Team
  • Complexity of the Request

Results Achieved

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