Data Integration

Our reflections on the 2022 Gartner® Magic Quadrant™ for Data Quality Solutions

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Talend Team

6 min read

In its 2022 Magic Quadrant™ for Data Quality Solutions report, Gartner® emphasizes the “importance of having a critical approach toward managing the health and fitness of data.” We agree that “poor data quality completely destroys business value.” Organizations simply cannot afford for data quality to be an afterthought. And if you’re currently in the process of evaluating data solutions for your organization, this report can help. This year, Gartner evaluated 16 data quality vendors, and we’re thrilled that Talend was recognized as a Leader for the fifth time in row.

Talend’s end-to-end approach to data management combines capabilities for data integration, self-service data preparation, application and API integration, data integrity, and governance in a single, unified platform – with pervasive, automated data quality throughout.  

 We believe our recognition as a Leader validates this approach and reaffirms our ability to help customers across every industry achieve healthier data and deliver maximum data value. 

In the report, Gartner identifies key assumptions that are important to consider when evaluating different data quality solutions: 

“By 2025, 80% of mainstream data quality vendors will expand their product capabilities to provide greater data insights by discovering patterns, trends and relationships of data, in addition to error resolution.”  

At Talend, we focus on data quality through capabilities like the Talend Trust Score™, which is automatically calculated based on data and metadata. The Trust Score provides a complete picture of your data health by combining data quality, popularity, and user-defined ratings. Additionally, Talend leverages AI in many data quality tasks – from data matching to parsing and cleansing – to improve user productivity. 

“By 2026, 20% of large enterprises will use a single data and analytics governance platform to unify and automate discrete governance programs.”  

Unlike other point solutions that lead to unused, overlapping functionality, increased costs, and operational inefficiencies, Talend’s platform provides an integrated end-to-end solution with pervasive data quality, serving multiple personas and powering key use cases like AI and machine learning, analytics and data science, data and analytics governance, data engineering, master data management, and operational/transactional data quality. 

Finally, as the data quality space evolves, vendors will need to incorporate more recent developments like data observability as an extension of augmented data management. 
 
As Gartner expands on in its Critical Capabilities for Data Quality Solutions report, “Data quality solutions continue to transition from stand-alone applications into a set of integrated platforms to address modern data quality requirements. Data quality solutions now include features such as data catalog, data observability and data preparation and support a range of complex use cases and streamlined processes.”  

 As part of our unified end-to-end approach, Talend incorporates all of those features, and we’ve doubled down our investments in areas such as data observability, driven by our vision of extending our platform’s capabilities with tools like the Talend Data Console.  

How Shelter fights the UK’s housing emergency with high-quality data 

Shelter is a leader in fighting the UK’s housing emergency. With the unfortunate increase in the size and scale of the homeless crisis, the organization needed to improve its ability to connect with supporters and increase its impact. 
 
According to Graham Barnes, Head of Data and BI for Shelter, “by enhancing data quality, automating more processes, and improving our ability to use that cleaned up data, we’re now better positioned to communicate with our supporter base and serve the millions of people across the UK affected by the housing emergency – and Talend is central to our ability to more effectively manage our data.” 

Why Seacoast Bank is banking on higher-quality data 

Seacoast Bank is one of the largest community banks headquartered in Florida. The institution recognized the need to enhance operations around data integration and data quality, so that it could deliver faster analytics and reduce costs by automating data quality tasks, all while maintaining regulatory compliance. 

“Talend’s data quality and data governance capabilities are very important,” says Mark Blanchette, SVP, Director of Data Management and Business Technology, Seacoast National Bank. “It is a key piece of technology for us to measure and monitor data quality issues.” 

How Globe Telecom creates wonderful experiences for mobile subscribers 

With over 94.2 million mobile customers and 2 million home broadband customers, Globe Telecom had collected large amounts of data that required a great deal of effort to cleanse in order to be trusted for use throughout the organization. With Talend, the company has seen a 400% increase in trusted email addresses and realizes significantly higher ROI in its marketing campaigns. 

“Today, we ensure data quality meets six dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness,” explains John Bibal II, Director of Data Engineering and Data Quality at Globe. “We have a data governance team which establishes all business rules for each dimension and these customized business rules are then developed with Talend Big Data Studio to build the data quality scores.” 

Start your journey to better data quality today 

Every organization deserves access to the best data so they can make the best decisions. With Talend, improving the quality of your data is easier than ever thanks to our pervasive, automated approach that assess data at every step of the way.  
 
We want to thank all our customers who have put their trust in Talend. If you’re ready to start your journey to better data quality, we invite you to discover Talend, try our data quality stack, and become part of our growing user community. 

Gartner, Magic Quadrant for Data Quality Solutions, By Ankush Jain, Melody Chien, 1 November 2022 

Gartner, Critical Capabilities for Data Quality Solutions, By Melody Chien, Ankush Jain, 2 November 2022 

Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved. 

Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s Research & Advisory organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. 

This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Talend. 

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