Customer 360 Unified View Implementation using MDM

Customer 360 Unified View Implementation using MDM

Artha Solutions supported an enterprise client in Retail & E-Commerce on an engagement focused on Customer 360 Unified View Implementation using MDM. The work used Talend and Azure and highlights documented outcomes, including consolidated 110M consumer records, eliminating data silos and improving customer engagement.

KEY HIGHLIGHTS
  • Industry Retail & E-Commerce
  • Focus Area Data & AI Modernization
  • Client A Major Enterprise Client
  • Region Global
  • Technologies
    Talend Azure MySQL Kafka

Key Results & Business Impact

110 Million
Consolidated 110M consumer records, eliminating data silos and improving customer engagement.
30%
Improved cross-selling opportunities due to optimized product recommendations.
25%
Higher customer retention due to enhanced personalized marketing campaigns.

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 implement a Customer 360 solution using MDM.

Client Profile & Context

A Major Enterprise Client operates in Retail & E-Commerce, with a Global footprint, and a focus on Data & AI Modernization. The case study references Talend, Azure, MySQL, Kafka.

Problem Statement with Critical Operational Vulnerability

Consumer records were spread across regional systems and channels, preventing a trusted real-time Customer 360 view.

Critical Operational Vulnerability

Without scalable MDM and event-driven synchronization, personalization, cross-sell decisions, and customer retention programs would continue to rely on incomplete data.

Solution Implemented

to implement a Customer 360 solution using MDM. Aiming to unify fragmented consumer data and improve accuracy, the company established a single, trusted view of customers.

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%.