Data Governance Tools

Data governance tools are software solutions that help companies effectively manage, control, and use their data.

What functionalities do data governance tools offer?

Data governance tools offer a wide range of features that companies need to implement their Data Governance-Can support strategy. Key features include:

Data catalog: Preparation of an inventory of all data sources and assets within a company.
Metadata management: Capture, store, and manage metadata about data, e.g. origin, meaning and mode of use.
Data quality: Implement processes and rules to ensure the accuracy, completeness, and consistency of data.
Data security: Protecting data from unauthorized access, use, alteration, or destruction.
Compliance management: Compliance with data protection and other relevant regulations.
Access management: Control access to data based on user roles and permissions.‍
Data lineage: Tracking the origin and movement of data.‍
Data profiling: Analyze data to identify patterns and trends.‍
Reporting and auditing: Preparation of reports on the status of data and compliance with Data Governance-Guidelines.

What are the benefits of using data governance tools?

‍ Implementing data governance tools can provide organizations with a range of benefits, including:

Improved data quality: Data governance tools can help companies improve the quality of their data, resulting in better decisions, more efficient processes, and reduced risks.
Increased data security: Data governance tools can help companies protect their data from unauthorized access, use, alteration, or destruction.
Improved Compliance: Data governance tools can help companies ensure compliance with data protection and other relevant regulations.
Increased efficiency: Data governance tools can help companies streamline their data collections and improve the efficiency of their data-related processes.
Reduced costs: Data governance tools can help companies reduce costs associated with poor data quality, data breaches and reduce non-compliance with regulations.

What are the use cases for data governance tools?

Data governance tools are used in a wide range of industries, including:

Financial services: Financial services providers use data governance tools to ensure compliance with regulations such as Basel III and Solvency II.
Health care: Healthcare providers use data governance tools to ensure compliance with HIPAA and other data protection laws.
Retail: Retailers use data governance tools to protect customer information and ensure compliance with data protection laws such as the GDPR.
Manufacture: Manufacturing companies use data governance tools to improve the quality of their product data and optimize the efficiency of their supply chains.
Public sector: Public authorities use data governance tools to ensure the protection of citizen data and ensure compliance with freedom of information laws.

What do you need to consider when choosing a data governance tool?

‍ When choosing a data governance tool, organizations should consider a number of factors, including:

The size and complexity of the data environment: Organizations with large and complex data environments may need more powerful tools than companies with smaller and simpler data environments.
The company's specific requirements: Organizations should choose a tool that meets their organization's specific needs, such as helping specific data sources or compliance with certain regulations.
The budget: Data governance tools can vary significantly in pricing. Companies should set a budget and choose tools that fit within that budget.
The ease of use: Data governance tools should be easy to use so users can use them effectively.
The scalability: Data governance tools should be scalable to keep pace with the growth of the business and its data environment.

What data governance tools are there?

This is just a small selection of the available on-premise data governance tools Cloud-based or even open source. When choosing a tool, companies should consider their specific requirements and budget.

On-premise data governance tools

IBM InfoSphere Data Governance: A comprehensive platform to manage and control data across the entire life cycle.
‍Oracle Information Governance: A suite of tools to manage data quality, security, and compliance.
‍Actian data governance: A platform for automating data governance processes such as Data cataloging, metadata management, and data quality testing.
‍SAP Information Governance: A suite of tools for integrating data governance into SAP landscapes.
‍SAS Data Governance: A suite of tools to manage data quality, security and lineage.

Cloud-based data governance tools

Informatica Cloud Data Governance: A cloud-based platform to manage data quality, security, and compliance.
Collibra Data Governance Center: A cloud-based platform for automating data governance processes such as data cataloging, Metadata management and Data quality check.‍
IBM Cloud Data Governance: A cloud-based solution for integrating data governance into IBM Cloud environments.‍
Microsoft Azure Purview: A cloud-based platform to manage data quality, security, and compliance in Microsoft Azure environments.‍
AWS Data Catalog: A cloud-based service for cataloging and managing metadata about data in Amazon Web Services (AWS) environments.

Open-source data governance tools

Apache Atlas: An open-source framework for cataloging and managing metadata about data.‍
DataHub: An open-source tool for managing data quality and lineage.‍
OpenDataGov: An open-source framework for implementing data governance processes.‍
DataBuckle: An open-source tool for automating data governance tasks, such as data cataloging and data quality verification.
‍Cartographer: An open-source tool for visualizing data landscapes.

Our services related to Data Governance.

Note: Our team benefited from the support of AI technologies while creating and maintaining this glossary.