10 Best Data Governance Tools in 2023: Updated List (Available)

A data governance tool helps to create and maintain a set of policies, procedures, and protocols that control how an organization’s data is stored, used, and managed. This is important because it allows for better decision-making based on data integrity. Data governance frameworks inform and document the what, who, why, and how of data within an organization so that data is more consistent and accessible. This helps you better understand how to use data within your organization to make improvements.

The goal of data governance is to help you make better decisions by clarifying who owns what data, what roles different people play in working with data, and what policies govern how data is used. When done correctly, data governance can give you more confidence in your decisions by making sure that the data you're using is consistent and trustworthy.

What is Data Governance?

Data governance is the process of ensuring that data is accurate, consistent, and reliable. It involves establishing policies and procedures for how data is collected, stored, used, and managed. Data governance helps organizations to make better decisions by providing a framework for how data should be handled.

Data Governance Framework

As data has become more prevalent in society, the popularity of Data Governance strategies has also increased. In order to ensure that these projects are successful, several components must be included, such as:

  • Data Standards
  • Data Processes and Organizational Structure
  • Tools and Technologies

1. Data standards:

The first and most important aspect of data governance is to establish standards for how data should be collected, formatted, and stored. These standards should be created by taking into account the needs of different departments within the organization, as well as any legal or compliance requirements. Once these standards are in place, they should be communicated to all members of the organization so that everyone is aware of them.

2. Data processes and organizational structure:

The second aspect of data governance is to establish processes and an organizational structure for how data will be managed. These processes should be designed to ensure that data is collected, stored, and used in accordance with the standards that have been established. The organizational structure should define who is responsible for different aspects of data governance, such as data quality, security, and access.

3. Tools and Technologies:

The third aspect of data governance is to provide the tools and technologies needed to support the processes and organizational structure. These tools can range from simple spreadsheet templates to complex enterprise software systems. The choice of tool will depend on the size and

Why Data Governance Tools?

Data Governance tools help organizations to establish and maintain policies, processes, and protocols governing how data is stored, accessed, and used. By creating standard definitions and formats for data, these tools can improve communication and understanding across silos within a company. Data Governance tools can also help to ensure that data is reliable and trustworthy, making it possible for businesses to make decisions confidently based on accurate data assets.

Best Data Governance tools in the market

1. Boltic

Boltic is a free to use No-code modern big data ops workspace for all businesses. You can use it to easily monitor, prepare, and govern your data. The tool includes features such as data discovery, live data view, SQL editor, notebook, collaboration, and user management. Boltic provides table & column level access control for classified data & PII masking for privacy compliance. You can use Boltic for free with some features locked behind a paid subscription.

2. ASG Technologies

ASG Technologies' Enterprise Data Intelligence (ASG DI) platform is a metadata-driven data platform that provides an end-to-end view of data. The platform offers features such as data cataloging, data management, metadata management, self-service, visualization, data lineage, business glossary, and flexibility and compatibility. Some users report that the tool interface has a learning curve, and that deployment can be difficult in complex environments. Pricing is available on request. You can even get a demo of the product before making a purchase.

3. Ataccama

Ataccama is a data management platform that uses AI-driven automation to make data management easy. It offers features like data cataloging, data management, metadata management, self-service, business glossary, and flexibility and compatibility. However, some users find the platform difficult to use and it can be expensive. Your enterprise may benefit from Ataccama if you're looking for an all-in-one solution for data quality, master data management, and data governance.

4. Collibra

Collibra offers a robust and flexible platform for automating data governance. Its extensive customization options make it one of the most comprehensive tools available, while its wide range of integrations makes it easy to use. However, some users report that the interface can be heavy and cluttered, and deployment can be difficult. You can request pricing from Collibra, or take advantage of their free demo.

5. IBM

IBM's Watson Knowledge Catalog is a data governance tool that offers flexibility and support for multiple data governance frameworks. It includes features like data cataloging, management, self-service, visualization, lineage tracing, business glossary support, and policy management. You can purchase it as a service on IBM Cloud, with prices starting at $300 per instance. You can get a free Lite version as well. This tool is best for enterprises that already use IBM's services and have no budget constraints.

6. Informatica

Informatica provides a powerful and time-tested solution for business and IT collaboration. It features data cataloging, management and self-service analytics, metadata management, visualization, data lineage tracing, business glossary support, and policy enforcement. However, it can be difficult to deploy and integrate with other tools and has a steep learning curve. Pricing is available on request.

7. Io-Tahoe

Io-Tahoe is a data governance tool that focuses on automating data management workloads, with a particular emphasis on data quality. It includes features such as automated data discovery, metadata management, self-service search and exploration capabilities, and visualization tools. Additionally, it is compatible with multiple platforms and compliance regulations. Some users have reported easy usability, while others mention a few areas that still need improvement. Pricing is available on request.

8. OvalEdge

OvalEdge is a data catalog and governance tool that supports data management, metadata management, self-service, visualization, business glossary, and data policy management. It is easy to deploy and customize according to user needs. You can use it for as low as $100 per month per user. It's a great choice for small to medium businesses. Although it does not have the features of some of the more expensive options, it is still a powerful tool that can help you manage your data effectively.

9. SAP

SAP provides you with a way to manage your master data and govern your data in one application. It offers features for data cataloging, management, metadata management, visualization, business glossary, data policy management, and more. However, the interface can be difficult to use for those new to SAP services. You can use it on-premise or on the cloud, and there is a free trial available. To get started, you just need to request detailed pricing information from SAP.

10 Talend

Talend provides a unified cloud platform for data governance that includes features like data cataloging, management, and visualization, as well as self-service applications and compliance tracking. The open-source version of the product is free, while paid plans start at $100 per month. Talend is designed for large enterprises looking for automation and more self-service capabilities.

Key benefits of Data Governance tools

The benefits of Data Governance Tools are listed below. These tools have become increasingly important to businesses as data and apps play larger roles in company operations.

1. Unified privacy, security & Data Governance initiatives:

If your company is utilizing decentralized data, it's possible that employees are wasting time by duplicating projects. To solve this frequent problem, you can unify your privacy, security, and data governance departments into one efficient platform.

2. Streamlined business access to data:

A data catalog that is easy to use and always up-to-date with the latest governance policies lets business process owners quickly find the data they need while staying compliant. This will also reduce the number of requests for data access, freeing up time for data professionals so they can focus on developing and implementing policies.

3. Improved data quality:

Data governance tools make it easier to enforce data standards and quality rules. This results in improved data quality overall, which is essential for making sound business decisions.

4. Greater efficiency & productivity:

Automating repetitive tasks through data governance tools leads to greater efficiency and productivity in the workplace. This allows employees to focus on more important tasks, leading to better overall business performance.

5. Automated compliance:

Automated compliance tools can help data professionals keep up with the latest privacy laws and regulations. By automating the process of updating policies and procedures, these tools can help organizations improve their compliance outcomes. By removing many of the manual tasks involved in policy updates, automated compliance tools can give organizations greater confidence that they are on a compliant path.

Conclusion

Data governance tools can help be of great help to any business that wants to manage its data more effectively. Using a data governance tool can make it easier to catalog and manage your data, as well as visualize it in a way that makes it easy to understand. However, it is important to choose the right tool for your business, taking into account factors such as price, features, ease of use, and compatibility with other tools and platforms.

Boltic is a no-code modern big data ops workspace that can help you with data governance in your business. We provide you with an easy-to-use interface that can help you manage and monitor your data pipeline, as well as automate complex workflows. To learn more about how we can help you with data governance, please visit our website or contact us today.

FAQ

What are the 4 pillars of data governance?

The four pillars of data governance are identify distinct use cases, quantify value, improve data capabilities, and develop a scalable delivery model.

What is data governance in ETL?

Data governance in ETL is the process of ensuring that data is accurate, consistent, and compliant with data standards and regulations.

What is a data governance example?

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A data governance example would be a company that has implemented a data governance tool to help manage its data more effectively. This tool can help the company catalog and manage its data, as well as visualize it in a way that makes it easy to understand.

Why do you need a data governance tool?

A data governance tool can be of great help to any business that wants to manage its data more effectively. Using a data governance tool can make it easier to catalog and manage your data, as well as visualize it in a way that makes it easy to understand. However, it is important to choose the right tool for your business, taking into account factors such as price, features, ease of use, and compatibility with other tools and platforms.

How do you build data governance?

Some tips on how to build data governance include setting up a centralized repository for your data, establishing clear roles and responsibilities for those who manage your data, and implementing processes and procedures for ensuring data accuracy and compliance.

What is a data governance strategy?

A data governance strategy is a plan for how an organization will manage its data. This strategy should take into account the four pillars of data governance: quality, security, privacy, and compliance. The strategy should also consider factors such as price, features, ease of use, and compatibility with other tools and platforms.
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