Healthcare Data Analytics with Power BI

99% Policy accuracy

5x Faster underwriting

Client Max Life Insurance

Sector Insurtech solutions

Confidentiality NDA protected

The challenge

Underwriting and claims teams were slowed by fragmented data across legacy systems, making fast, accurate decisions difficult.

Our approach

We consolidated health and policy data into structured models, then built interactive Power BI dashboards that highlight trends, risks and bottlenecks.

The outcome

Dashboards that accelerated underwriting by five times and gave leadership a single, reliable view of policy health.

How we delivered

From problem to production

Four focused phases, each ending with something the client could see and test.

Data modelling

Health, policy and claims data combined into clean models.
Dashboard design

Views tailored for underwriters, managers and executives.
Security and roles

Row-level security configured so teams see only their data.
Training and handover

Teams trained to explore data and build their own reports.

Highlights

What made the difference

The decisions and capabilities behind the results.

Policy Underwriting Accuracy

Eliminated manual calculation errors and regulatory non-compliance variances.

Turnaround Acceleration

Standard policy issuance dropped from 10 days down to under 48 hours.

Report Refresh Acceleration

Nightly batch refreshes completed in 35 minutes instead of 8+ hours.

Daily Active Corporate Users

Adopted across all regional branches and headquarters divisions.

Technology and standards Power BI DAX SQL Server Azure Synapse Python

★★★★★

Pyzen brought exceptional discipline to our Power BI implementation. Their data models turned complex health and policy records into immediate executive clarity.

Sanjay Mehta Chief Operating Officer · Max Life Insurance

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