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16 Best Data Governance Solution Providers in 2022

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The principles and procedures of an organization’s data storage, handling and security make up its data governance framework. How data is input, stored, manipulated, accessed and deleted is crucial to regulatory compliance and requires the implementation of a strict data governance infrastructure. Firms must put the right people in place to support, sponsor, and steward this framework.

While there are many aspects to getting data governance right, including data management, data quality, data lineage (see the best 8 data lineage providers here), data fabrics, data stewardship and more, using the tools and technologies available to build a thorough data governance framework is crucial.

Data Management Insight has collated a list of the top 16 data governance solution providers to consider in 2022, based on our own research as well as entries to our 2021 Data Management Insight Awards that received the most votes from our readers.

 

SolidatusWinner of the 2021 Data Management Insight Award for Best Data Governance Solution

Boasting its data governance solution as “the only tool on the market enabling true organization-wide understanding and control of data with its ground-breaking lineage-first approach”, Solidatus helps organizations go beyond basic data governance through the addition of data dimensions including data quality, ownership, sourcing, privacy and authority. The solution addresses the challenges of assuring data is fit for purpose, maintaining control of data through change, providing evidence to report to organizational stakeholders, including management, customers and regulators as well as the ability to integrate and leverage existing software solutions.

Ab Initio

Discover, enrich, curate and access data using Ab Initio’s data governance solution. This integrated technology platform includes components from data cataloging, enterprise data quality to PII management and end-to-end governance. With easy and controlled access to siloed data assets, as well as self-service, controlled data onboarding and enterprise-scale data quality management and automated issue management, Ab Initio helps users to understand, measure and trust their data.

ActiveNav

Through continuous monitoring of connected repositories and automation of policies to client content, ActiveNav’s data governance solution allows true visibility of data. The seamless, on-premises user interface resolves data spillage, reduces discovery burden, enforces policies by notifying responsible staff and allows firms to grow their governance maturity through constant feedback on content risk and quality. Additionally, metadata mapping classifies, tags, organizes and prepares data to be migration ready, and includes powerful management reporting to easily communicate progress and status to stakeholders.

Alation

The Alation Data Governance App centrally automates and manages policies, workflow, stewardship activities and more.  Boasting a ‘people-first’ programme, Alation uses autonomous stewardship and continuous improvement to deliver expected data outcomes by complementing the app with professional services entitled Active Data Governance Blueprint. Alation’s continuous improvement framework starts by populating the data catalog, empowering data stewards, curating assets and applying policies and controls, followed by driving community collaboration to monitor and measure the data, allowing for established trust in the data and risk mitigation.

ASG Technologies

ASG Technologies’ Enterprise Data Intelligence platform provides data stewards with the tools needed to address timely data issues. Through collaboration with data specialists, data value and trust is established. ASG’s solution provides critical capabilities for data governance, including ‘out of the box definition of roles for data users’; creation and management of business terms; customizable dashboards to organize data issues, status and metrics; flexible business and data models that reflect business policies, processes, rules and data sources; as well as the ability for data users to flag data issues, visibility of data quality metrics and logging to support tracking of data governance activities for data audits.

Ataccama

Ataccama’s data governance solution defines clear ownership, responsibilities and tools to analyze and prioritize data initiatives.  Through data discovery and classification, Ataccama ONE calculates data quality and data is classified in a data catalog to assure prioritization of data.  Data profiling is achieved through automation, allowing firms to dive deep into any data set to identify duplicates, anomalies, patterns and more. A business glossary defines business terms, hierarchies and relationships, while automation allows effortless monitoring of data quality across all of a firm’s systems. Reference data is centralized for reporting and operations management, and master data management is achieved through a configurable workflow. Ataccama ONE provides visualized progress reports to prove the value of data governance and achievements to stakeholders.

Collibra

The Collibra Data Intelligence Cloud is a single location to find, understand and create a shared language around data across the organization.  By operationalizing data governance workflows and processes, firms can deliver trusted data ‘for the people, by the people’. Key features of the platform include a comprehensive business glossary, stewardship management, reference data management, centralized policy management, intuitive workflows, embedded privacy, data dictionary, as well as a data helpdesk to raise, manage and resolve issues. Automation of data governance through Collibra’s solution provides cross-functional teams with a single location to find and establish a common understanding of data.

Erwin

Erwin’s suite of data solutions empowers users to transform their data and unlock its potential. Business process modeling, enterprise architecture, data modeling, data catalogs and data literacy work together to form accurate, trusted, uniform, reliable data across the organization. This data intelligence software suite empowers data governance teams to deliver meaningful insights, drive innovation, manage risks and drive business transformation.

IBM

The IBM Watson Knowledge Catalog enables users to discover, govern and protect high-quality data. This cloud-based enterprise metadata repository uses AI, machine learning and deep learning technology to access, curate, categorize and share data, knowledge assets and data relationships. IBM boasts their solution can ‘cut time to automate data discovery, quality and governance by up to 90%’ through the creation of a business glossary governance foundation, customized to meet firms’ requirements, well structured and maintained data lineage, centralized management of external data connection and active policy management.

Informatica

Informatica’s unified cloud-native service combined with capabilities across cataloging and governance use cases ensures a cohesive business and technical experience. Using AI/ML, users can automate manual tasks, freeing up data stewards to apply expertise to mission-critical processes. With the ability to tailor individual components over time, users are able to leverage the agility of a common, modular platform, create a connected lineage view linking technical metadata with business context, and deliver trusted data for deeper, more reliable insights. Additionally, data sharing is facilitated through a cloud-native data marketplace for data driven decision making.

One Trust

OneTrust DataGovernance is a suite of tools designed to properly govern, utilize and improve data quality; ensuring compliance with the latest regulations, as well as driving business value. Data governance activities are orchestrated to ensure data collection, storage and use meet all privacy rules and regulations. Data policies such as user access, data retention and residency, data minimisation and data protection are defined, data is monitored and violations flagged across the data ecosystem. Collaboration across business functions remediates findings, applying compensating controls and reducing risk. Continuous improvement is achieved through feedback of data stewards and data users through trust scoring, comments and insights, and a review of trends in policy violations and an overview of the effectiveness through dashboards, metrics, and maturity and benchmarking reports.

SAP

SAP’s Master Data Governance for Financials (MDG-F) application offers an intuitive interface to efficiently maintain financial master data in an integrated fashion. Available on-premise, private or with public cloud deployment, the solution supports all master data domains and implementation styles. With prebuilt data models, business rules, workflow and user interfaces, MDG-F creates a single source of truth by uniting SAP and third-party data sources. Data is defined, validated and monitored to establish business rules and confirm master data readiness. Governance is achieved through collaborative workflow routing and notification, allowing various teams to own unique master data attributes and enforce validated rules for specific data points.

Semarchy

Discover, govern, integrate, manage, visualize, and measure critical data sets in Semarchy’s xDM Data Hub. This all-in-one platform unifies scattered and siloed data, allowing users to unlock business value. Offering a full set of features to build production-ready operational and analytical applications in a single environment, xDM helps firms gain control of critical data, easily define and enforce corporate policies and ensure data quality with intuitive governance processes built right in.

Tableau

Tableau offers three Governance Models: centralized, delegated and self-governing. Each provides options for varying levels of security, compliance and management. The centralized data governance model works based on one authority that owns and authors data sources and dashboards to various business groups. The delegated data governance model works with several site administrators or data owners that have direct access to data sources and access is delegated down for more collaboration. Thirdly, the self-governing model is much more collaborative between the various business groups utilizing the data, creating ad-hoc reporting and additional access to data to allow more teams to execute business reporting and decisions.

Talend

Talend Data Fabric is uniquely designed to give users a single view across all data sources, databases and applications.  Available both on-premises or in the cloud, the solution helps keep your data healthy and your organization in compliance with data protection and data privacy regulations. Real-time processing of all data types and integration with partners like Databricks, combined with advanced analytics and machine learning models allow for a clearer picture of risks and remediation paths. Talend’s machine learning data quality and transformation capabilities provide a faster path to trusted data.

ZL Tech

ZL Tech offers a singular platform designed to allow users to regain control of electronic communications and documents while uncovering their true value. Through file analysis and management, records management, eDiscovery, compliance tools and Single-Instance-Storage (SIS) hierarchial storage management, ZL provides unified control over enterprise data. The ZL Unified Architecture (UA) platform consolidates billions of documents to eliminate data silos. Through cloud-deployment options, enterprise analytics and a large scale compatibility system, users can have full governance over their data.

If you feel any provider is missing from this list, do let us know and our team can review your suggestions! Email pr@a-teamgroup.com.

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