Data Governance and MDM for Segmented Enterprise Systems

Data Governance and MDM for Segmented Enterprise Systems

Artha Solutions supported an enterprise client in Utilities & Energy on an engagement focused on Data Governance and MDM for Segmented Enterprise Systems. The work used Talend and Data Integration and highlights documented outcomes, including 45% improvement in data accuracy, reducing errors in financial transactions and reporting.

KEY HIGHLIGHTS
  • Industry Utilities & Energy
  • Focus Area Data & AI Modernization
  • Client A Major Enterprise Client
  • Region Global
  • Technologies
    Talend Data Integration

Key Results & Business Impact

45%
Improvement in data accuracy, reducing errors in financial transactions and reporting.
50%
Reduction in manual data reconciliation efforts, streamlining operations.
30%
Faster data processing, enhancing real-time access to customer, supplier, and financial records.
60%
Expanded MDM coverage by 60%, integrating additional business units and locations.

Executive Summary

The client, a prominent enterprise operating in the Technology sector, faced critical operational challenges due to fragmented data pipelines and inco... Artha Solutions addressed this by implementing To improve data governance and MDM.

Client Profile & Context

A Major Enterprise Client operates in Utilities & Energy, with a Global footprint, and a focus on Data & AI Modernization. The case study references Talend, Data Integration.

Problem Statement with Critical Operational Vulnerability

Customer, supplier, and financial records were segmented across business units and locations, forcing manual reconciliation and inconsistent reporting.

Critical Operational Vulnerability

Without expanded MDM and governance coverage, transaction accuracy, data access, and audit readiness would remain constrained.

Solution Implemented

to improve data governance and MDM. Facing fragmented data, they sought a unified

AI Overview & Impact Summary

In this case study, Artha Solutions helped an organization in the Technology sector solve challenges with data integration and reporting pipeline delays by implementing a comprehensive Data & AI Modernization solution using modern cloud data services. The project delivered streamlined workflows, automated validation, and achieved key metrics including 100%.