VisionWrights

Industries

Banking and credit union data strategy.

Financial institutions face unique data challenges: regulatory compliance, member engagement, risk modeling, and fraud detection — all while modernizing legacy systems. We help banks and credit unions build data strategies that satisfy regulators and serve members better.

Common challenges for financial institution data teams.

Banks and credit unions sit at the intersection of regulatory pressure, member expectations, and legacy technology. Most financial institutions know they need better data capabilities — for compliance, for member engagement, for risk — but modernizing while maintaining uptime and regulatory compliance makes every change harder than it should be.

Pain points we see most often

  • Regulatory reporting that requires manual data pulls from 3-4 core systems, consuming analyst time that could be spent on member-facing insights.
  • Member engagement data trapped in the core banking platform — unable to connect with digital banking, call center, and branch interaction data for a full picture.
  • Fraud detection models running on outdated rules instead of machine learning — catching known patterns but missing evolving threats.
  • Merger and acquisition data integration projects that stall because nobody mapped the data lineage from both institutions.

How we approach financial services data

For a mid-market financial services firm, we helped align AI pilots across business, IT, and operations — building a responsible AI framework that satisfied compliance requirements while delivering measurable operational improvements.

Frequently Asked Questions

Do you work with credit unions as well as banks?

Yes. We serve both banks and credit unions, with particular experience helping credit unions modernize their data capabilities while maintaining their member-first culture. Credit unions often face the same data consolidation challenges as larger banks but with smaller teams and tighter budgets.

How do you handle regulatory compliance data requirements?

We build data infrastructure that supports regulatory reporting — HMDA, CRA, BSA/AML — alongside operational analytics. Rather than treating compliance as a separate data silo, we design systems where compliance data flows naturally from the same unified data model your teams use for member analytics.

Can you integrate with core banking systems?

Yes. We work with FIS, Jack Henry, Fiserv, Symitar, and other core banking platforms to extract and consolidate data. We understand the constraints of core banking APIs and batch processing windows, and we build pipelines that work within those limitations.

What analytics do financial institutions need most?

The highest-impact analytics for banks and credit unions include member/customer engagement scoring, risk modeling, fraud detection, loan portfolio analysis, deposit trend forecasting, and regulatory compliance reporting. We help you prioritize based on your institution's size and strategic goals.

How do you address data security in financial services?

We follow financial services security standards and work within your existing security policies, VPNs, and access controls. We don't require access to PII when it's not necessary, and we design systems with role-based access controls and audit trails built in.

4.9/5 on G2

Related Industries

Ready to Get Started?

Tell us what problem you’re trying to solve. We’ll tell you how we can help.