A data governance tool is a way to control the roles, policies and responsibilities for your company’s data. It also makes data discoverable and accessible. It will automate and streamline your governance tasks using out-of-the-box or customized workflows, and allow you to spot potential data risks quickly. Certain tools provide analysis of data lineage as well as other features that can help you reduce the risk of compliance.
Before deciding on a data management tool, it is important to clarify your needs. It is essential to identify the data you wish to manage, the data flows and the www.ecodataroom.com/importance-of-online-data-rooms-in-mergers-and-acquisitions/ way you plan to increase the amount of effort. Consider whether you would like a solution for data governance that can be used as a standalone solution or with additional capabilities, like data integration, data quality and master data management.
Collibra is a platform which provides automated governance and data management solutions, both for structured and unstructured information. Its features allow stakeholders to collaborate, offering instant access to the correct data and offering a support desk. It lets you create views based on roles and employs machine learning for cataloging data assets and identifying connections and lineage.
Quest was formerly known as Erwin is a unified software suite that provides data governance, data catalogs, business intelligence, and data quality management. It can be used as cloud-based services or on an on-premise server. It supports a variety of data formats and sources.
Riskonnect: This solution allows collaboration between data stewards and subject matter experts as well as other stakeholders. It does this via the use of a role-based dashboard as well as a workflow engine that comes pre-installed. It is able to automate and pinpoint tasks, as well as act as a central hub for storing contracts, credentials and other documents. It also facilitates automated data curation as well as business glossaries, as well as support for the analysis of semantic linesage.