REGULATORY

Reporting Center of Excellence & $1.85M Leakage Remediation

Leakage hides where lineage stops. This centralized fragmented, cross-jurisdiction reporting into one governed model — and used it to find revenue that was quietly slipping away.

Problem statement

Reporting for a treasury and trade services business was fragmented across multiple systems and jurisdictions, with no single center of ownership. That fragmentation created two compounding problems: rising compliance risk against new regulatory reporting requirements, and revenue leakage that stayed invisible because no one owned the full picture.

Without a normalized view of transactional data across systems, the business could not reliably answer basic questions — what's being reported where, what's inconsistent, and what's simply being missed.

Approach

Five steps, applied in sequence — each one deliberately checked back against the big picture before moving to the next, so the detail work never drifts from the actual business problem.

Discover & diagnose

Established a reporting Center of Excellence (COE) to define business requirements and pin down exactly where reporting broke down across systems and jurisdictions.

Model the domain

Normalized transactional data across multiple systems and jurisdictions into a single, reportable data model.

Validate against the big picture

Established business requirements to meet new regulatory reporting guidelines — while keeping business-as-usual (BAU) delivery intact rather than treating compliance as a separate workstream.

Build

Stood up an operational COE to deliver ongoing BAU reporting with minimal cost of ownership.

Govern & sustain

Built a dedicated data analysis and management framework specifically to identify and recoup revenue leakage on an ongoing basis, not just as a one-time clean-up.

What was built

A centralized reporting Center of Excellence built on a normalized, cross-jurisdiction data model — with regulatory-aligned reporting processes and an ongoing leakage-detection framework layered on top, rather than bolted on after the fact.

The normalization step was the linchpin: once transactional data spoke one language across systems and jurisdictions, both the regulatory reporting problem and the revenue leakage problem became solvable with the same underlying model.

Business value

What it delivered

  • Recovered $1.85M in annual revenue leakage that had been invisible under the fragmented reporting model.
  • Reduced cost of ownership for business-as-usual reporting delivery.
  • Positioned the business to meet new regulatory reporting guidelines with a defensible, auditable data trail.
  • Established a repeatable framework for catching leakage going forward, not just a one-time recovery.

The reporting COE model, as a graph

How fragmented transactional data becomes one normalized, regulator-ready model — drag any node to explore, hover for detail.

Core model Source / process Governance / output

Illustrative model shown for demonstration — the underlying structure is generalized from real work.

More case studies

Working on reporting lineage, or see where it blurs differently? I'd enjoy comparing notes.

info@dataoptician.com

Generalized from personal experience and shared in a personal capacity — this reflects my own views, not my employer's, and isn't an offer of paid services.