How to Select a Data Governance Tool

A data governance tool can help you manage the policies and roles which govern your organization’s data. It also makes data more discoverable and accessible. It can help you automate and organize your governance tasks using out-of-the-box or custom workflows that allow you to identify the potential risks to data quickly. Certain tools provide analysis of data lineage and other features that can help you reduce compliance risk.

It is crucial to clarify your requirements before deciding on a tool to manage data governance. This includes identifying the kind of data you wish to manage as well as the flow of data and how you plan to expand your efforts. It is also important to determine if you are seeking a stand-alone data governance solution or one that includes other capabilities like data integration, master data quality and management (MDM).

Collibra is a platform that provides automated governance and data management solutions for both structured and non-structured data. Its features include enabling users to collaborate, providing instant access to the correct data, and a help desk. It lets you create views that are based on roles. It also uses machine learning for cataloging data assets and discovering relationships and lineage.

Quest was formerly known as Erwin is an integrated software suite that offers data governance and data catalogs, business intelligence, and data quality management. It is available as cloud-based services or on an on-premise server. It also supports a broad range of formats and data sources.

Riskonnect: This software allows collaboration among data stewards, experts in the field and other stakeholders by using an out of the box workflow engine and role-based dashboards. It will automate and help identify tasks as well as serve as a central hub to store credentials, contracts and other documents. It also allows for automated curation of data and provides business glossaries, as well as support for semantic lineage analysis.

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