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

Marketing Data Mesh for Personalization

domain Client: A design and marketing solutions company handshake Provider: AWS / Databricks schedule Deploy: Q1 2022 (Implementation)
88 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: High

Executive Summary

ANALYST: COI RESEARCH

To personalize the experience for millions of small business customers, the company moved to a Data Mesh. They defined domains like 'Customer', 'Order', and 'Design'. Each domain publishes data products that the Marketing team consumes to drive real-time personalization engines, replacing a slow legacy warehouse.

rate_review Analyst Verdict

"Solving the 'Marketing Latency' problem. Marketing needs fresh data. By empowering the 'Order' domain to publish data directly, Marketing gets the signal faster than waiting for a central ETL job. It aligns technical architecture with the customer journey."

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

warning The Challenge

Legacy data systems were batch-oriented and siloed. Marketing campaigns were based on stale data (e.g., recommending a product the user just bought). The central data team could not keep up with the request for new customer attributes.

psychology The Solution

Implemented a Data Mesh. Domain teams (e.g., the team managing the Design Studio tool) own their data and expose it as a product. The Marketing domain consumes this to build a 'Customer 360' product used for segmentation.

settings_suggest Technical & Deployment Specs

Integrations
Salesforce, AWS
Deployment Model
Public Cloud
Data Classification
Customer / Design
Estimated TCO / ROI
Medium
POC Summary (2020-01-01 to 2021-01-01)

"N/A"

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Cultural Resistance Medium Executive sponsorship and 'Data PM' role creation.
Tooling Fragmentation Medium Standardized platform tooling (Golden Path).

trending_up Impact Trajectory

Audited value realization curve

Creation of distinct data domains Verified Outcome
Primary KPIReduction in campaign data latency
Audit CycleImprovement in customer retention metrics

policy Compliance & Gov

  • Standards: GDPR, CCPA
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: Customer / Design

folder_shared Verified Assets

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

Related Intelligence

article
AI Game Difficulty Balancing & Analytics
View Outcome →
article
Financial Data Platform as a Service
View Outcome →
article
Banking-as-a-Service API Platform
View Outcome →
Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A design and marketing solutions company without exposing sensitive IP or identities.

Private
lock_person

1. Raw Evidence

Audit ID: #PRIV-907
Evidence: Direct SQL Logs
Public
public

2. Verified Asset

Outcome: Verified
Ref ID: #COI-907

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.