The most expensive cost on your data team isn’t the one you can see. It’s the hidden tax of legacy pipelines that compound every quarter.
Across financial services organizations, the pattern is consistent and measurable. It’s the time your engineers spend rewriting SQL nobody documented. The AI initiative sitting on the backlog because nobody can certify the training data. The regulatory report that took three weeks instead of three days.
If you’ve ever tried to make the internal case for modernizing your transformation layer — and needed the numbers to do it — this guide was built for that conversation.
Inside the guide, you’ll get:
- A diagnostic framework for the three hidden costs: the velocity tax, the trust deficit, and the cost spiral — and how they compound
- Sourced industry benchmarks to quantify the tax in dollar and percentage terms
- Peer proof points from 50+ financial services organizations across banking, insurance, investment management, and fintech
- The four-step playbook leading teams use to break the cycle: Including measured outcomes mapped to each industry sub-segment
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The legacy pipeline
costs are measurable
47%
Of FinServ IT leaders say tech debt drives cloud overspending
40%
Higher IT maintenance spend at organizations that ignore tech debt
$12.9M
Average cost of poor data quality in financial services