Data Governance software is essential for implementing a Data Governance strategy within an organization. Find out which tools are the best!
In the age of digital transformation, companies are creating and collecting mountains of data. This is a valuable resource, enabling the discovery of new opportunities.
However, data also brings many challenges. The explosion in volume and the heterogeneity of sources make management increasingly complex.
It becomes difficult to identify all the data stored on systems, to decide which data different users should be able to access, or to ensure that data is used appropriately and how it can be leveraged.
In this context, organizations wishing to control their information assets have no choice but to implement a Data Governance program.
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What is data governance?
This process involves managing an organization’s data to ensure quality, security and regulatory compliance.
In particular, it involves creating internal standards for data management, and implementing rules for controlling access to information and how it can be used.
A Data Governance program generally includes initiatives to improve data quality. It can also incorporate Master Data Management.
The aim is to ensure that data is consistent, trustworthy and available to analysts. It’s also to ensure that their use complies with laws such as the European Union’s GDPR.
To achieve these goals, organizations can use a wide variety of data governance software. These tools provide all the functionality required to create data catalogs, map and classify data, manage workflows and document processes.
For maximum efficiency, they can also be combined with data quality, MDM or metadata management solutions.
What is data governance software?
Data Governance Software helps create and maintain a set of policies, processes and protocols to define how data is stored, consumed and managed within an organization.
To choose the right Data Governance Software, it’s important to define your needs and objectives. The company’s priorities must be clearly defined, so that the right tools can be adopted.
Depending on the users of the Data Governance Software, it is also important to select one that meets all needs. For example, data scientists will need a solution that also offers data analysis functionalities.
Software can also be deployed on-premise or cloud-based. The model to choose depends on the amount of data, scalability requirements and the sources to be connected. Here’s an overview of the best solutions!
The best Data Governance Software
The use of the rightData Governance Software is essential for successful long-term data governance. Find out more about the most popular software.
Alation Data Governance App
Founded in 2012, Alation initially offered a data catalog platform enabling organizations to inventory and easily access their data.
Although Alation Data Datalog remains its main product, the firm has also been offering a companion data governance tool since September 2021.
The Alation Data Governance App is software designed to simplify the process of providing secure access to trusted data in IT systems.
This includes, in particular, systems deployed on hybrid cloud or multi-cloud environments.
The application’s Policy Center can be used to create governance policies, and check how specific data assets are mapped.
There’s also a data stewardship space, offering data curation functions and using AI and Machine Learning to identify potential data stewards based on their data usage.
There are also features for creating no-code data governance workflows, and a dashboard for monitoring program progress.
Ataccama One
Ataccama One’s aim is to offer an all-in-one solution for all a company’s data governance and management needs.
This platform includes MDM and data quality functionalities. It is AI-based software, available on-premises, in the cloud or in a hybrid environment.
It is a solution for data professionals such as Data Scientists, Data Engineers, Data Analysts, Data Stewards and Data Governance managers.
Catalog and data integration functionalities complete the tool, as do master data management options and the data storytelling module.
Designed for companies in highly regulated industries, Ataccama offers a comprehensive audit trail and security options based on an organization’s various roles.
Apache Atlas
The Apache Atlas open source tool provides metadata management and data governance capabilities for organizations.
It is primarily designed for use on Hadoop clusters, but can also exchange metadata with tools and processes outside this ecosystem. This enables integration with other systems for analytical applications.
Originally developed by Hortonworks with the help of several customers, this software has been managed by Apache Software Foundation since 2015. Using Atlas, organizations can collaboratively catalog, classify and govern their data.
Informatica Axon Data Governance
With Axon Data Governance, Informatica offers a tool to help organizations deliver trusted data to end users and data stewards across the enterprise.
AI-based automation provides support for data discovery, data quality assessment and communication.
It also helps governance teams create data marketplaces to help analysts access and understand data.
The software also enables teams to develop a common dictionary, define connections, identify gaps in datasets and link governance policies to the data concerned.
Collibra Data Governance
Collibra Data Governance software is part of the Data Intelligence Cloud suite. It helps data scientists save time by delivering reliable data.
This tool operationalizes governance processes and workflows. It creates a shared language for data assets, simplifying access and understanding.
A metadata documentation dictionary is included, as are reference data management functionalities.
The “data helpdesk” is a useful function for resolving data-related problems. There is also a module for analyzing potential confidentiality risks associated with the use of personal data.
Data360 Govern
Within the Data360 portfolio, the Govern tool enables companies to create a data governance framework. It also includes a data catalog and metadata management functionalities.
A real-time monitoring system tracks how data supports different processes, helping organizations achieve their goals with customized dashboards.
Governance workflows and metadata collection are automated. In addition, data quality scores can be imported from Data360 DQ+ companion software or other tools.
Erwin Data Intelligence
With Erwin Data Intelligence, Quest Software promises to bring data insights and capabilities to bear on a successful governance strategy.
The software combines the various catalog, data quality and data literacy products of the Erwin brand into an integrated suite.
It is designed to enable IT teams to make data assets more visible and guide them in their use. Control options ensure that internal data policies are followed to the letter.
IBM Cloud Pak for Data
The IBM Cloud Pak cloud-native platform brings together features for data governance, quality and confidentiality.
It also offers data integration and customer data management options. Artificial Intelligence enables data discovery, profiling and cataloguing.
There are also metadata enrichment, data quality management and lineage functionalities. Data policy management tools are also present to ensure protection and compliance.
Rules can also be created to automatically deny access to data or hide it from unauthorized users. On the contrary, features can simplify access for authorized users and help them understand and use data.
Oracle Enterprise Metadata Management
OEMM software helps organizations collect, catalog and govern metadata from relational databases, data warehouses, Hadoop clusters and other data sources such as business intelligence platforms.
It is compatible with Oracle systems, as well as with tools from other vendors. An interactive search engine can be used to explore metadata.
Data lineage tracing functions are available, as well as impact analysis functions. For collaborative governance, it is also possible to annotate and tag metadata and add comments.
SAP Master Data Governance
Master Data is very important. SAP’s software is specifically designed to manage it.
As part of their MDM initiatives, organizations can use this tool to consolidate data from a variety of sources and govern it centrally.
The software is part of the SAP Business Technology Platform, alongside a wide range of analytics, data management and artificial intelligence solutions. It is available in local or cloud versions.
SAS Information Governance
With SAS Information Governance, analysts can spend less time searching for and evaluating data. This enables them to focus on their core mission.
At the same time, data stewards and data governance teams can ensure that data assets are secure and used correctly.
This software is also bundled with other SAS analytical tools, either as a standard component or as an optional extension.
It includes a data catalog, and can automatically browse sources, classify data and identify sensitive information.
End-users can search the metadata in the catalog to find relevant data. This enables them to find information on data quality, usage metrics and much more, to decide whether it is suitable for their needs.
Talend Data Fabric
Talend Data Fabric combines data integration, data quality and data governance technologies in a single platform.
It also includes an API integration module. Data quality is automatically verified to help organizations ensure that their data is clean and reliable.
Governance and stewardship processes can then be managed. The data catalog can automatically browse, organize and enrich metadata.
In addition, a data inventory helps to manage metadata and identify silos. A Talend Trust Score system measures the reliability of datasets.
Conclusion
A data governance strategy must include Data Governance Software. What’s more, these tools offer highly useful features for data analysis and data science.
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Now you know all about data governance software. For more information on the same subject, take a look at our dossier on DataViz.
