Talend (NASDAQ: TLND), a global leader in cloud data integration and data integrity, today announced it has once again been recognized by Gartner, Inc. as a Leader in data quality tools as described in the 2019 Magic Quadrant for Data Quality Tools.1 This is the second consecutive time that Talend has been positioned in the Leaders quadrant. Talend improved its position over the previously issued report based on completeness of vision and ability to execute. For a complimentary copy of Gartner’s complete report click here.
According to Gartner, Inc., “The term ‘data quality’ relates to the processes and technologies for identifying, understanding and correcting flaws in data that support effective information governance across operational business processes and decision making. The packaged tools available include a range of critical functions, such as profiling, parsing, standardization, cleansing, matching, enrichment and monitoring.”1
“Data quality has never been more important,” said Mike Tuchen, CEO, Talend. “It’s essential that companies can trust the data fueling their business decisions while delivering it at the speed required to remain on the cutting edge. We believe our position in the Leaders quadrant validates our vision and unique approach where data quality and governance are built-in and managed throughout the data value chain. We’re thrilled that Gartner has again positioned Talend as a Leader in this Magic Quadrant report.”
Only Talend offers a single suite of apps for data integration and data integrity with built-in, pervasive data quality and governance. Talend solves some of the most complex aspects of the data value chain, enabling companies to collect data across systems, govern it to ensure proper use and compliance, transform it and improve quality, and share it with internal and external stakeholders to help more users make the right decision on time, every time.
In the report, Gartner notes: Data quality tools are vital for digital business transformation, especially now that many have emerging features like automation, machine learning, business-centric workflows and cloud deployment models. According to Gartner, the market for data quality software tools reached $1.61 billion in 2017 (the most recent year for which Gartner has data), an increase of 11.6 percent over 2016.