Talend, a global leader in data integration and data integrity, announced it has once again been recognized by Gartner, Inc. as a Leader in data quality solutions as described in the 2021 Magic Quadrant for Data Quality Solutions. This is the fourth consecutive time that Talend has been positioned in the Leaders quadrant.
According to Gartner, Inc, “The discipline of data quality assurance ensures that data is “fit for purpose” and trusted by users in the context of existing business operations, analytics and emerging digital business scenarios. Data quality has traditionally been mandated to fulfill compliance and governance requirements and to reduce operational risks and costs. Increasingly, data quality also becomes a necessity when amplifying analytics for better insights and for making trusted, data-driven decisions. Data quality is a competitive advantage that data and analytics (D&A) leaders must continuously engage with in order to achieve those goals.”
In the report, Gartner notes: “By 2022, 60% of organizations will leverage machine learning-enabled data quality (DQ) technology for suggestions to reduce manual tasks for data quality improvement. Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives”.
“Clarity and decisiveness in data-driven decision making requires having healthy data in place, which builds from a solid data quality foundation,” said Krishna Tammana, CTO, Talend. “We believe this recognition from Gartner validates our pervasive, strategic end-to-end approach to data quality and the value it brings to customers.”
Talend helps businesses accelerate to a modern, healthier data environment. The unified Talend Data Fabric is the only platform that seamlessly combines an extensive range of data integration and governance capabilities designed to manage the health of corporate information. In its most recent release, the platform continues to advance analytics, security, and collaborative governance across the enterprise, supporting greater confidence and the ability to get more value from an organization’s data.
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