A data governance tool can help you manage the policies, roles and responsibilities that apply to your company’s data. It also helps to make accessible data more searchable, accessible and comprehensible. It can help you automate your governance activities using pre-defined or customizable workflows, and help identify potential data risks quickly. Certain tools provide data lineage analyses and other capabilities to help you minimize compliance risk.
It is crucial to clarify your requirements before selecting a tool for data governance. It is crucial to determine the type of data you want to manage, as well as the flow of data and the method you will use to scale up your efforts. Consider whether you would like an effective data governance system that is standalone or one with other capabilities like data integration, data quality and master data management.
Collibra is a platform that offers automated governance and data management solutions, both for structured and unstructured information. Its features include enabling collaboration with stakeholders, delivering instant access to relevant data and providing a data help desk. It allows you to create views that are based on roles. It also uses machine learning for cataloging data assets and discovering relationships and lineage.
Quest The name was previously Erwin This software suite that is unified provides 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 supports a variety of formats and sources.
Riskonnect: This software allows collaboration between data stewards and subject matter experts as well as other stakeholders. It accomplishes this by using the use of a role-based dashboard as well as an automated workflow engine that comes pre-installed. It is able to automate and pinpoint tasks and act as a central point for storing contracts, credentials, and other documents. It also supports automated curation of data and offers business glossaries, as well as support for semantic lineage analyses.
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