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

Embrace the Threat: How Software Firms Can Head Off ‘SaaS-pocalypse’

Recent stock market losses among software providers have prompted some analysts to predict a coming “SaaS-pocalypse” as software companies are threatened by artificial intelligence that can write code and build software quickly and cheaply. The doomsayers may be premature, however. While AI undoubtedly has the ability to supplant some of those firms, it also presents...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2021/2022 – Ninth Edition

Welcome to the ninth edition of A-Team Group’s Regulatory Data Handbook, a publication dedicated to helping you gain a full understanding of regulations related to your organisation from the details of requirements to best practice implementation. This edition of the handbook includes a focus on regulations being rolled out to bring order and standardisation to...