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: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

A-Team Launches Inaugural AI in Data Management Summit New York City

Artificial intelligence-led applications offer financial institutions the potential to do more with their data at a time when increasingly complex economic and geopolitical influences place extraordinary operational pressures on them. The technology is now being applied to all parts of an organisation, from asset and risk management to customer relationship management and regulatory compliance. A...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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,...