Metadata-Driven ETL Framework for Financial Data Standardization

Metadata-Driven ETL Framework for Financial Data Standardization

Artha Solutions supported an enterprise client in BFSI on an engagement focused on Metadata-Driven ETL Framework for Financial Data Standardization. The work used Talend and Data Integration and highlights documented outcomes, including automated workflows cut manual efforts by 45%, speeding up reporting and compliance.

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

Key Results & Business Impact

45%
Automated workflows cut manual efforts by 45%, speeding up reporting and compliance.
30%
Retiring legacy systems cut costs by 30%, enhancing operational and financial efficiency.
120+
Deployed 120+ ETL flows, ensuring error-free data integration within a short timeframe.

Executive Summary

In data transformation, integration, and regulatory reporting. The company partnered with Artha...

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

Financial data from multiple legacy systems had to be standardized and integrated for IFRS 17 reporting under tight governance and audit requirements.

Critical Operational Vulnerability

Without a reusable metadata-driven ETL framework, manual transformations and inconsistent validation would threaten reporting accuracy and compliance timelines.

Solution Implemented

to implement a metadata-driven ETL framework, ensuring seamless data standardization, improved transparency, and operational efficiency.

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%.