Rigorous Data Quality Improvement Practices with Talend

Rigorous Data Quality Improvement Practices with Talend

Artha Solutions supported an enterprise client in Retail & E-Commerce on an engagement focused on Rigorous Data Quality Improvement Practices with Talend. The work used Talend and Salesforce and highlights documented outcomes, including deduplicated 50,000 records, achieving 95% accuracy and consistency within three months.

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

Key Results & Business Impact

50K
Deduplicated 50,000 records, achieving 95% accuracy and consistency within three months.
65%
Real-time synchronization, allowed faster query resolution and more personalized service thus improving customer experience by 65%.
30%
Accurate data boosted targeted marketing, increasing revenue by 30% from upselling.

Executive Summary

With the quality of its customer data, impacting operations, customer experience, and business growth. The company partnered with Artha...

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, Salesforce, SAP.

Problem Statement with Critical Operational Vulnerability

Customer records across SAP, Salesforce, POS, and commerce channels contained duplicates, incomplete attributes, and inconsistent formats.

Critical Operational Vulnerability

Without rigorous data quality automation, service teams risked poor customer interactions, weak targeting, and unreliable operational reporting.

Solution Implemented

to address these issues by focusing on rigorous data quality improvement practices, leveraging Talend’s Data Quality tools.

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%.