ANNOUNCEMENT

Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services

Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 7 October 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.

Whitepaper

Security Mapping in Financial Services: The Hidden Cost of Broken Data in Private Credit

Broken data is becoming one of the biggest operational barriers in modern private markets.

As portfolios grow more complex, fragmented systems, inconsistent identifiers, and manual reconciliation processes are slowing decision-making, increasing operational risk, and limiting scalability across private credit operations.

This whitepaper explores why security mapping in financial services has become a strategic priority for investment firms and how AI-driven approaches are transforming data reconciliation in financial services through semantic intelligence, automation, and scalable governance.

You’ll learn:

Why security mapping in private credit is uniquely complex
The hidden operational costs of fragmented data and manual reconciliation
Why traditional reconciliation architectures struggle to scale
How AI for data reconciliation enables smarter, faster matching
The role of intelligent reconciliation automation in improving accuracy and efficiency
How stronger financial data integration and financial data management improve reporting, governance, and operational resilience

Built jointly by Hexaware and Pepper, this whitepaper shows how firms can modernize reconciliation workflows, improve operational efficiency in finance, and build a stronger foundation for scalable investment operations.

Download the whitepaper to discover how AI-powered security mapping can turn reconciliation from a manual burden into a strategic advantage.

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