Case Study

Driving Enterprise Agility with an AI Driven Data Mesh Platform

Industry

Healthcare

Location

Global

Our Contributions

Data Mesh Architecture, Cloud Native Data Platform, AI Driven Data Governance, Real Time Analytics, Cost Optimization, Change & Adoption Enablement

Global enterprises operating at scale often struggle with fragmented data ecosystems created through regional autonomy and legacy modernization efforts. While local data warehouses enable speed, they also introduce silos, inconsistent governance, duplicated pipelines, and escalating operational costs, limiting an organization’s ability to generate trusted, real‑time insights.

To compete with data-mature peers, organizations are increasingly adopting cloud-native data mesh platforms that balance domain autonomy with federated governance, unlocking enterprise-wide visibility, compliance, and agility.

The Challenge

The client faced significant challenges in delivering unified, compliant, and timely insights across its global operations due to fragmented data warehouses and disconnected governance practices. Data products and ingestion pipelines varied by region, creating silos and inconsistent views of performance, compliance, and customer behavior.

Teams spent weeks reconciling data for reporting and analysis, slowing down product launches and compliance initiatives. Duplicate data products inflated operating costs, while rigid, centralized processes limited adaptability for high‑value use cases. At scale, data quality monitoring and regulatory adherence became complex and error‑prone, exposing the organization to increased risk, slower speed‑to‑market, and missed innovation opportunities.

Our Approach

Coforge implemented a unified, cloud‑native data mesh platform designed to modernize the data ecosystem, automate governance, and deliver trusted, real‑time insights at a global scale.

Cloud Native Data Mesh Foundation

Built a unified data platform on AWS and Snowflake, consolidating global data products into a single, trusted ecosystem while preserving domain ownership and autonomy.

Federated Governance & Real Time Integration

Enabled federated governance using the Hypernova Mesh artifact, ensuring consistent policies, compliance, and real time integration across more than 180 markets.

Automated Ingestion & Streaming

Deployed AWS Glue, Kafka, and Lambda to automate batch ingestion, streaming, and real time data processing pipelines.

AI Powered Data Quality & Classification

Introduced AI‑driven quality checks using the Agentic DQ Resolver artifact to autonomously detect and resolve data quality issues. Implemented an AI/ML‑powered AutoClassifier to automate metadata tagging, PII identification, and C1–C4 data classification, supported by Human‑in‑the‑Loop (HITL) validation.

Insight Enablement & Change Management

Delivered Power BI dashboards to provide leadership with real time visibility into cost, usage, and SLA performance. Supported adoption through an agile rollout model, structured change management, and a global data champions network.

Impact to Date

The AI‑driven data mesh platform delivered measurable improvements across efficiency, cost, insight velocity, and enterprise‑wide data confidence.

35% Faster

Data Product Turnaround

55% Lower

Operating Costs

360° Customer View

Enterprise Wide Visibility