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"Data and analytics leaders are facing intensive pressure to provide 'trusted' data that can help business operations to run more efficiently and making business decisions faster and with greater confidence. Data quality initiatives have traditionally been mandated to fulfill compliance requirements and to reduce operational risks and costs. Increasingly, data quality is also a necessity when amplifying analytics for better insights and making trusted, data-driven decisions," states the report.
Infogix's Data360 extends basic data quality features, leveraging automated and integrated capabilities across multiple data management disciplines to convert raw data into actionable business knowledge. By combining real-time data quality with data governance, automated data lineage, analytics and extensive metadata management features, Data360 supports regulatory compliance, risk management, business intelligence and other data-driven initiatives.
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"As businesses modernize and advance their IT infrastructure, the one constant is the unequivocal need for accurate, consistent, and reliable enterprise data," said Emily Washington, executive vice president of product management at Infogix. "We have had a long-term presence in the data management market, specifically focusing on data quality. After four decades validating information, resolving data inaccuracies and merging data management efforts to ensure accurate, reliable data, Infogix is proud to be recognized by Gartner."
The report states "the data quality solutions market continues to evolve and grow, fueled by desire for cost and operational efficiency. The solutions leverage augmented capabilities to deliver automation and insights. Data and analytics leaders should use this research to make the best choice for their organizations."
According to Gartner, "A complete data quality solution includes built-in workflows, knowledge bases, collaboration, interactive analytics, and automation to support various uses cases across different industries and disciplines."
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Gartner, "Magic Quadrant for Data Quality Solutions," Melody Chien, Ankush Jain, 27 July 2020
Gartner "Magic Quadrant for Metadata Management Solutions," Guido De Simoni, et al, 16 October 2019
Gartner "Market Guide for Data Preparation Tools," Ehtisham Zaidi, Sharat Menon, 9 July 2020
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 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.
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