Client Overview

One of the largest U.S. regional banks, managing approximately $90B in assets and operating nearly 400 branches nationwide, faced increasing complexity following multiple mergers. Fragmented systems, rising regulatory scrutiny, and accelerating digital expectations created urgency to modernize its enterprise data ecosystem end-to-end, without compromising regulatory confidence or operational resilience.

Customer Challenge

Multiple mergers left the bank with three legacy warehouses and siloed data marts, creating inconsistent reporting, high reconciliation effort, and governance gaps across Risk and Finance functions.

Key issues:

Fragmented architecture and duplicated data

Limited lineage transparency increasing regulatory scrutiny

Manual, reconciliation-heavy reporting driving high costs

Redundant tooling and slow analytics delivery

What was at stake?

Without modernization, the bank faced rising regulatory exposure, escalating run costs, slower innovation, and reduced executive confidence in enterprise data.

Ness Solution

Ness led a multi-year, strategy-first modernization to implement a governed Enterprise Data Hub (EDH) using an Enhanced Medallion Architecture (EMA).

The transformation delivered:

Consolidation of three warehouses into Snowflake

Denodo virtualization for seamless migration

Embedded lineage, OCC-aligned governance, RBAC and ABAC security

Data-as-a-Product framework and enterprise data marketplace

Stabilized platform with tool rationalization

Governance was embedded by design, not added later.

Engagement model

  • Phase 1: Data strategy and governance blueprint
  • Phase 2: EDH implementation and consolidation
  • Phase 3: Stabilization and reliability engineering
  • Phase 4: Data productization and marketplace launch

The model ensured uninterrupted regulatory reporting while delivering incremental value.

What Changed (Before → After)

Before:

  • Disconnected warehouses and siloed data marts
  • Manual reconciliation-heavy reporting
  • Reactive governance
  • Months-long analytics cycles

After:

  • Unified, governed Enterprise Data Hub
  • 60% reduction in manual reporting effort
  • Embedded governance-by-design
  • Analytics cycles reduced from months to weeks
  • AI-ready enterprise data foundation

Business Outcomes

  • 60% reduction in manual reporting effort
  • 40% improvement in data pipeline efficiency
  • Analytics delivery reduced from months to weeks
  • Three warehouses unified into a governed EDH
  • 99.9% platform uptime
  • Certified enterprise data marketplace enabling self-service analytics

Strategic impact

The bank shifted from managing fragmented warehouses to operating a governed, product-driven data ecosystem.

Data evolved from regulatory burden to strategic asset, strengthening compliance, reducing costs, and establishing a scalable, AI-ready foundation for long-term innovation and competitive advantage.


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