COI.
search Request for Consideration arrow_forward menu
close Submit Innovation
close
Banking verified Verified Outcome TRL 9

Enterprise Data Mesh Transformation

domain Client: A global financial software company handshake Provider: AWS / Internal Build schedule Deploy: Q4 2020 (Maturity)
96 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

Moving from a central data lake that created a bottleneck for innovation, the company adopted a Data Mesh architecture. They shifted ownership of data from a central engineering team to domain-specific teams (e.g., QuickBooks, TurboTax). Each domain publishes 'Data Products' with guaranteed SLAs, schemas, and quality metrics, consumable via a self-service infrastructure.

rate_review Analyst Verdict

"The pioneering case study for Data Mesh. It validates the shift from technical data warehousing to organizational domain ownership. The success lies not just in the technology (AWS), but in the 'Product Thinking' applied to data assets—treating internal developers as customers."

lock
Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

A central data engineering team was overwhelmed by requests from analysts across different business lines. Data quality suffered because the central team lacked domain context (e.g., tax code nuances). Time-to-insight for new features lagged due to this pipeline bottleneck.

psychology The Solution

The organization implemented a self-service platform allowing domains to build and publish their own data products. They enforced a 'federal' governance model: domains have autonomy over logic but must adhere to global interoperability standards (polyglot storage, standardized metadata).

settings_suggest Technical & Deployment Specs

Integrations
AWS Lake Formation, Kafka
Deployment Model
Public Cloud
Data Classification
Financial / PII
Estimated TCO / ROI
High (Organizational Restructure)
POC Summary (2019-01-01 to 2020-01-01)

"Pilot with QuickBooks domain."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Domain Silos High Strong federated governance and interoperability standards.
Skill Gaps Medium Embedding data engineers within business domains.

trending_up Impact Trajectory

Audited value realization curve

Creation of >50 domain-oriented data products Verified Outcome
Primary KPIReduction in data engineering backlog
Audit CycleSignificant increase in ML model deployment velocity

policy Compliance & Gov

  • Standards: SOX, GLBA
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Financial / PII

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
lock
verified_user
Technical Audit
PDF • Audited
lock

Related Intelligence

article
Autonomous Earthmoving Equipment
View Outcome →
article
AI for Settlement Fail Prediction
View Outcome →
article
Optical Player Tracking (Officiating)
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A global financial software company without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-900
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-900

Strategic Action Center

Identify your current stage and take the next step.

rocket_launch
Replicate This Success
Want similar results? Request a deployment consultation.
psychology_alt
Submit Challenge
Have a different problem? Submit your problem statement.
publish
Publish Case Study
Submit your own verified evidence.
thumb_up
Verify Impact
Audit your existing solution.