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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Experts to Take Stock of Data Silos and Lineage: DMS London Preview

Data fragmentation and lineage are two critical themes within data management that are intrinsically linked. Good data lineage can help overcome the impediments imposed by siloed data because it is an important aid in optimising data integration and utility. Both will be examined in detail by experts at A-Team Group’s 16th annual Data Management Summit...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Practical Applications of the Global LEI – Client On-Boarding and Beyond

The time for talking is over. The time for action is now. A bit melodramatic, perhaps, but given last month’s official launch of the global legal entity identifier (LEI) standard, practitioners are rolling up their sleeves and getting on with figuring out how to incorporate the new identifier into their customer and entity data infrastructures....