Expanding Enterprise MDM and Role-Based Access Controls

Expanding Enterprise MDM and Role-Based Access Controls

Artha Solutions supported an enterprise client in BFSI on an engagement focused on Expanding Enterprise MDM and Role-Based Access Controls. The work used Talend and Data Integration and highlights documented outcomes, including defined risk management strategies that reduced compliance violations by 30%.

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

Key Results & Business Impact

30%
Defined risk management strategies that reduced compliance violations by 30%.
100%
Ensured 100% compliance with role-based access security policies.
45%
Implemented automated data validation, improving data accuracy by 45%
35%
Optimized storage, reducing costs by 35% and improving data security
40%
Cut data issue resolution by 40%, improving validation speed and accuracy.

Executive Summary

Partnered with Artha... Artha Solutions addressed this by implementing .

Client Profile & Context

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

Problem Statement with Critical Operational Vulnerability

The BFSI organization managed data across many applications without broad MDM coverage, consistent metadata, or role-based access controls.

Critical Operational Vulnerability

Without expanded governance and automated validation, data duplication, leakage risk, and compliance violations would continue to affect operations.

Solution Implemented

By expanding MDM, implementing role-based access, and automating governance, they improved data quality, streamlined operations, and enhanced compliance. CASE STUDY Data Governance

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%.