Commercial Real Estate Digital Transformation in Banking

Artha Solutions supported an enterprise client in BFSI on an engagement focused on Commercial Real Estate Digital Transformation in Banking. The work used Talend and Data Integration and highlights documented outcomes, including achieved a 35% increase in data accuracy, reducing inconsistencies in real estate asset records.

KEY HIGHLIGHTS

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

Key Results & Business Impact

35%

Achieved a 35% increase in data accuracy, reducing inconsistencies in real estate asset records.

40%

Improved data timeliness by 40%, ensuring up-to- date information across all properties.

85%

Automated data ingestion from 85% of third-party sources, minimizing dependency on manual inputs.

50%

Reduced data retrieval time by 50%, enabling quicker decision-making and analysis.

Executive Summary

Artha streamlined data processes, improved data quality, and established proactive data governance. This empowered the bank to make data- driven decis...

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 bank's commercial real estate unit managed property, vendor, and portfolio information across unstructured sources and disconnected legacy processes.

Critical Operational Vulnerability

Without centralized governance and automated ingestion, data quality issues would keep teams reactive and limit timely real estate decision-making.

Solution Implemented

partnered with a leading Singaporean bank to transform its Commercial Real Estate unit. By addressing critical data challenges, Artha streamlined data processes, improved data quality, and established proactive 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%.