How to Select a Data Governance Tool

A data governance tool can help you to manage the policies as well as the roles and responsibilities which govern your organization’s data. It also makes data more accessible and easily searchable. It can help you automate and organize your governance activities with out-of-the-box or customizable workflows and enable you to identify the potential risks to data in a timely manner. Certain tools also provide data lineage analysis as well as other capabilities that can help you mitigate compliance risks.

Understanding your requirements is essential prior to selecting a tool for data governance. It is essential to identify the data you wish to manage, as well as the flow of data and the ways you plan to increase the amount of effort. You should consider whether you require a solution for data governance that is stand-alone or with other capabilities such as data integration, data qualitiy and master data management.

Collibra is a platform that offers automated governance and data management solutions, both for structured and unstructured information. Its capabilities include allowing stakeholders to collaborate, giving immediate access to the right data and offering a support desk. It allows you to create roles-based views, and utilizes machine learning to catalog data assets and identifying relationships and lineage.

Quest was formerly known as Erwin is an integrated software suite that offers data governance as well as data catalogs, business intelligence, and data quality management. It is able to be implemented on servers or as a cloud-based service. It also supports a vast range of formats and data sources.

Riskonnect: This software helps facilitate collaboration between data stewards and subject matter experts as well as other stakeholders. It accomplishes this by using an interactive dashboard based on roles and a workflow engine that is pre-installed. It is able to automate and define tasks and act as a central hub to store contracts, credentials, and other documents. It also facilitates the automated curation of data, and provides business glossaries, as well as support for semantic lineage analysis.

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