A data governance tool can help determine the policies, roles and responsibilities around your organization’s data. It also makes data more accessible and easily searchable. It can automate your governance activities using pre-defined or customizable workflows and help you identify potential data risks quickly. Certain tools also offer data lineage analysis as well as other features that can aid in reducing compliance risks.
Understanding your requirements is essential before deciding on a tool to manage data governance. This includes identifying the data you’d like to control, the data flows and how you intend to scale your efforts. It is also useful to think about whether you are looking for a stand-alone, data governance solution or one that has other features like data integration, data quality and master data management (MDM).
Collibra: This platform geared towards enterprise offers automated management and governance solutions for both structured and unstructured data. Its capabilities include allowing users to collaborate, providing instant access to the correct data, and a help desk. It lets you create roles-based views, and makes use of machine learning to catalog data assets, and identifying relationships and lineage.
Quest: Formerly known as Erwin, this unifying software suite offers see here now data governance, data catalog business intelligence, and management of data quality. It can be installed on an existing server or as a cloud-based service. It also supports a vast range of formats and data sources.
Riskonnect: This service allows collaboration between data stewards, subject matter experts and other stakeholders by using an out of the box workflow engine and role-based dashboards. It helps automate and identify tasks, as well as provide a central location for credentials, contracts and other documents. It also facilitates automated data curation, and offers business glossaries and supports for the analysis of semantic linesage.
