InsuranceQlik Migration

Major National Insurance Carrier

~100 QlikView applications migrated to Qlik Cloud in 5 months

~100

Apps Migrated

5 mo

Timeline

70%

Faster Than Industry Avg

Overview

A major insurance carrier needed to migrate their entire QlikView estate to Qlik Sense — roughly 100 applications across multiple business units, with years of accumulated sprawl, undocumented dependencies, and inconsistent data models.

The Situation

The client had engaged two other consulting firms for estimates. Both quoted 18+ months and multi-million dollar budgets. The environment was exactly what Evil Genius was built to handle: complex, sprawling, and poorly documented. Hundreds of apps, many redundant, with dependencies that nobody had mapped.

Our Approach

  1. 1

    Deployed our CURE methodology to perform a full diagnostic of the analytics portfolio in the first two weeks — cataloging every app, data connection, script, and dependency.

  2. 2

    Applied the R.O.T. framework to classify the entire environment. Over 35% of apps were identified as Redundant, Obsolete, or Trivial — eliminating them from the migration scope entirely.

  3. 3

    Created a dependency-aware migration sequence, batching apps by department and complexity.

  4. 4

    Executed migration using Cloud View Pro for automated discovery, script conversion acceleration, and field-by-field data parity validation.

  5. 5

    Ran parallel validation cycles — every migrated app was verified against its QlikView source for complete data accuracy.

Results

  • ~100 applications migrated from QlikView to Qlik Sense
  • Delivered in 5 months — competitors had quoted 18+
  • 100% data parity validated across all migrated applications
  • 35%+ of the estate classified as R.O.T. and safely decommissioned
  • Fully documented environment post-migration with governance in place

What This Made Possible

With a clean, modern, fully governed Qlik Sense environment, the carrier now has a foundation that supports advanced analytics and AI initiatives. The decommissioned R.O.T. content alone reduced licensing costs and eliminated confusion across business units. The documented, governed estate means new AI use cases can be pursued with confidence in the underlying data.

Facing a Similar Challenge?

Let's talk about what's in your analytics portfolio — and what it would take to get it where it needs to be.