About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Quest Software Adds Data Marketplace to Data Intelligence Software Portfolio

Subscribe to our newsletter

Quest Software, a systems management, data protection and security software provider, has added a data marketplace based on the concept of ‘shop, share, and compare’ to its offerings. The data marketplace is included in version 13.0 of Quest’s erwin Data Intelligence solution, and is designed to help data users, stewards and owners find, understand, leverage and protect their organisations’ high-value and trusted data quickly and efficiently.

“Companies must be able to rely on their data to make sound business decisions,” says Heath Thompson, president and general manager at Quest Software. “We need to raise the accessibility of high-value data and AI models and make them more usable and understandable. Organisations with high quality data at their fingertips, available now with erwin Data Marketplace, will have competitive edge.”

The data marketplace is based on a data catalogue and business glossary, and provides a central location for data users to collaborate on trustworthy data and AI models, while also giving data stewards and owners strong controls for curation, governance and publication of data assets.

It includes data literacy necessary to getting the right context around data to ensure its best use, automated data value scoring, mind maps displaying asset relationships, data lineage, community ratings and reviews, and additional business context and governance guidance. Built-in task and workflow capabilities streamline data access requests and approvals for data owners, and a full audit trail of governance-related actions ensures organisations are audit ready.

Beyond erwin Data Marketplace, erwin Data Intelligence 13.0 introduces a new erwin Smart Data Connector for the Databricks Unity Catalog. This enables organisations to ingest the metadata and data lineage associated with the data, files and machine learning models kept in their Databricks Lakehouse infrastructure, adding visibility across multi-platform data landscapes and additional data intelligence capabilities.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

Twelve Leading Data Lineage Solutions for Capital Markets

The ability to trace the journey of data from its origin to its final report is no longer a luxury but a regulatory and operational necessity. As firms grapple with the intensifying requirements of regulations such as BCBS 239, GDPR and the shifting landscape of MiFID II, the “black box” approach to data management has...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...