A data governance tool is a way to manage policies, roles and responsibilities regarding your company’s data. It also makes data more accessible and easily searchable. It can help you automate your governance activities using pre-defined or customizable workflows, and assist you to identify data risks that could be a problem quickly. Some tools offer data lineage analyses and other capabilities to help you reduce compliance risk.

Before selecting a data governance tool, it’s crucial to establish your needs. This includes identifying the type of data you wish to manage along with the data flows and how you intend to scale your efforts. Consider whether you would like a solution for data governance that can be used as a standalone solution or that includes other features, such as data integration, data qualitiy and master data management.

Collibra: This enterprise-focused platform offers automated management and governance solutions for both unstructured and structured data. Its features allow stakeholders to collaborate, offering instant access to the correct data, and a help desk. It allows you to create views that are based on roles. It also makes use of machine learning to catalog data assets and identifying relationships and lineage.

Quest The name was previously Erwin This software suite combines data governance, data catalog, business intelligence and management of data quality. It is available as a cloud-based service or on an on-premise server. It also supports a vast variety of formats and data sources.

Riskonnect is a solution that allows collaboration between data stewards and subject matter experts and other stakeholders. It does this via the use of a role-based dashboard as well as an automated workflow engine that comes pre-installed. It helps automate and identify Read Full Report tasks, as well as serve as a central repository for documents such as contracts, credentials and other documents. It also facilitates automated data curation and also provides business glossaries, as well as support for semantic lineage analysis.