A data governance tool helps manage policies, roles and responsibilities for your company’s data. It also helps to make available data more searchable, accessible and comprehensible. It can help you automate your governance processes using pre-defined or custom workflows, and help you identify potential data risks quickly. Some tools also provide analysis of data lineage and other features that can aid in reducing compliance risks.
It is crucial to clarify your requirements before selecting a tool for data governance. It is essential to identify the type of data you want to manage, the flow of data and the ways you plan to increase the amount of effort. It is also helpful to determine if you are looking for a stand-alone data governance solution or one that has other capabilities like data integration, master data quality, and data management (MDM).
Collibra: This platform geared towards enterprise provides automated management and governance solutions for both unstructured and structured data. Its features include enabling stakeholders to collaborate, giving immediate access to the right information and a support desk. It lets you create views that are based on roles. It also makes use of machine learning to catalog data assets and discovering relationships and lineage.
Quest was formerly known as Erwin is a unified software suite that provides data governance catalogs of data as well as business intelligence and data quality management. It can be deployed on an existing server or as a cloud service. It supports different formats of data and sources.
Riskonnect: This application facilitates collaboration among data stewards, subject matter experts, and other stakeholders using an out-of-the-box workflow engine and role-based dashboards. It helps automate and identify tasks, and also provide a central hub for contracts, credentials and other documents. It also allows automated data curation as well as business glossaries, as well as support for the analysis of semantic linesage.