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Case Study / Enterprise

Enterprise System of Records

Building a Governed Single Source of Truth

Unified system of records consolidating fragmented operational data across 12 business units into a single, governed source of truth with role-based access, audit trails, and real-time analytics.

Client

Mid-Market Enterprise

Industry

Enterprise

Services

Intelligent Automation

Timeline

7 months

Team

9 engineers

Stack

PostgreSQL, Node.js, React, Kafka, Kubernetes, TypeScript, Debezium
Enterprise System of Records
01 / The challenge

The Challenge

The client operated 12 disconnected line-of-business systems with duplicated customer, product, and transaction records. Reporting required weeks of manual reconciliation, and no team could agree on which number was correct.

Key pain points

  • 12 disconnected systems with overlapping data
  • Weeks of manual reconciliation per report
  • No audit trail for data changes
  • Inconsistent identifiers across systems
  • Compliance gaps from missing change history
02 / Our solution

Our Solution

We designed an event-sourced system of records with master data management, fine-grained role-based access, and immutable audit logs feeding real-time analytics dashboards.

Master Data Management

Canonical entity model with deterministic and probabilistic matching to deduplicate records across systems

Immutable Audit Log

Every change captured as an event with actor, timestamp, and reason, enabling full historical replay

Role-Based Access

Attribute-based policies enforced at the data layer with row and column level controls

Real-Time Analytics

CDC streams powering live dashboards without impacting transactional performance

03 / Technical architecture

Technical Architecture

Event-sourced backbone with PostgreSQL as the source of truth, Kafka for change streams, and React dashboards for governance.

PostgreSQL with row-level security
Kafka for event streaming and CDC
Node.js services on Kubernetes
Debezium connectors for legacy systems
React governance and admin console
TypeScript across the stack

Technical highlights

Event-sourced architecture, master data management, fine-grained RBAC, immutable audit log

04 / Results & impact

Results & Impact

12

Systems Consolidated

Unified into one canonical model

100%

Audit Coverage

Every change tracked and replayable

60%

Faster Reporting

From weeks to days end to end

0

Data Conflicts

Single source of truth, enforced

For the first time, every team is working from the same numbers. The audit trail alone has transformed how we handle compliance reviews.

Chief Data Officer

Mid-Market Enterprise

05 / Key takeaways

What we learned

01

Event sourcing makes audit and replay first-class, not bolted on

02

Master data management requires both tooling and governance discipline

03

Row-level security at the database is the most defensible access model

Next step

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