8 Best Data Quality Tools and Software for 2022

Data quality tools and software are highly important to many organizations. However, choosing the right vendor and solution can be a complex process that requires in-depth research. To make your search easier, we’ve compiled this list to help you find the best data quality tools and software to meet the needs of your organization. Please note: The best data quality tools are listed alphabetically.

Best Data Quality Tools

Best Data Quality Tools and Software – 1. Ataccama

Platform: Ataccama ONE

Description: By providing an enhanced data management platform, Ataccama comes with data discovery and data profiling, metadata management and data catalog, data quality management, master and reference data management, and big data processing and integration. In addition, it is fully integrated and modular for any data, user, domain, or deployment type. It is worth mentioning that the tool also includes text analysis and machine learning, as well as data enrichment using external sources and data lake analysis.

Best Data Quality Tools and Software – 2. Informatica

Platform: Informatica Multidomain MDM

Description: By offering a modular MDM solution that provides a single view of data, Informatica enables users to create an authoritative view of business-critical data from different, overlapping and conflicting sources. In addition, Informatica MDM has AI and machine learning capabilities, which include data quality, data integration, business process management and data security capabilities to enable you to easily enrich master data records with data from external providers. Last but not least, Informatica’s MDM capabilities can be deployed on-premises or in the cloud.

Best Data Quality Tools and Software – 3. Infogix

Tool: Infogix Data360 Govern

Description: In addition to providing an integrated set of data governance capabilities, including business vocabularies, data catalogs, data lineage, and metadata management, Infogix also provides customizable dashboards and zero-code workflows that can be adjusted as each organization’s data capabilities matures. Reference customers use Infogix for data governance, risk, compliance, and data value management. In addition, it should be noted that the product is also flexible, easy to use, and supports smaller data analysis efforts.

Best Data Quality Tools and Software – 4. Innovative Systems

Platform: Innovative Systems Synchronos

Description: As an enterprise MDM solution for operational or analytical purposes, the Innovative Systems Synchronos platform can be deployed on-premises, in the cloud, or through a hybrid environment. In addition to data analysis, data discovery and monitoring, and a 360-degree view, Synchronos enables users to discover information about extended relationships in their data. In addition, workflow management features allow customers to build and modify workflows, while hierarchy management supports graphical displays and navigation tools.

Best Data Quality Tools and Software – 5. Oracle

Tool: Oracle Cloud Infrastructure Data Catalog

Description: As a metadata management service that helps organizations find and manage data using an organized inventory of data assets, the Oracle Cloud Infrastructure Data Catalog has a modern, intuitive user interface that includes simple dashboards, search and browse capabilities, recommended actions, and shortcuts. Also, please note that the Oracle Cloud Infrastructure data directory is included in the Oracle Cloud Infrastructure subscription.

Best Data Quality Tools and Software – 6. SAP

Platform: SAP Master Data Governance

Description: SAP provides enterprise MDM capabilities through its SAP Master Data Governance product, a solution that can be deployed locally or in the cloud, allowing users to consolidate and centrally manage master data. SAP includes support for all master data domains and implementation styles, pre-built data models, business rules, workflows, and user interfaces. It is also worth noting that Master Data Governance allows you to define, validate, and monitor established business rules to confirm master data readiness and analyze data management performance.

Best Data Quality Tools and Software – 7. Syniti

Platform: Syniti Master Data Management

Description: Syniti, formerly known as BackOffice Associates, allows users to choose from a range of supported MDM implementation styles. Besides, the product supports the creation of a single reference point for master and application data from multiple domains, and Syniti automatically notifys users when work needs to be performed and monitors the process according to SLA. In addition, it links the business semantics later to all master and application data held by the solution.

Best Data Quality Tools and Software – 8. Talend

Tool: Talend Data Catalog

Description: The tool automatically captures, analyzes, organizes, links, and enriches metadata, and up to 80% of data-related information is automatically recorded and kept up to date through intelligent relationships and machine learning. The main functions of the Data Catalog include faceted search, data sampling, semantic discovery, classification and automatic profiling. In addition, it is important to note that the tool includes social management and data relationship discovery and authentication, as well as a suite of design and productivity tools.

Conclusion

Thank you for reading our article and we hope it can help you to find the best data quality tools and software. If you want to learn more about data quality tools and software, we would like to advise you to visit Gudu SQLFlow for more information.

As one of the best data lineage tools available on the market today, Gudu SQLFlow can not only analyze SQL script files, obtain data lineage, and perform visual display, but also allow users to provide data lineage in CSV format and perform visual display. (Published by Ryan on Jul 23, 2022)