Data Function

Data analytics · Regulated data

Health-insurance plan analytics: Analytics on anonymized member data under HIPAA

Insurers see how the plans they offer perform, without anyone seeing a member's identity.

Client
U.S. health-insurance providers (confidential)
Sector
Health insurance · USA
What we did
Data engineering · Dashboards · Privacy by design
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The business

U.S. health-insurance providers evaluating the plans they offer to members.

The problem

  • Plan performance questions needed member-level data, which could not leave the regulated boundary or expose identities.

How we solved it

  1. 01

    De-identification and least-access practices applied before any analysis; SQL data models and Tableau and Power BI dashboards on plan performance.

How they use it to grow

  • Delivered under HIPAA. The same de-identification practices apply to Ontario's PHIPA.

Security and compliance

Safeguards applied on this project

  • Member data anonymized before analysis
  • Least-privilege access and audit of who sees what
  • Work kept inside the client's regulated environment

Technology

  • SQL
  • Tableau
  • Power BI

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