RedPoint’s Data Management Technology Recognized for the Fifth Consecutive Year

WELLESLEY HILLS, Mass. – Dec. 5, 2016 – RedPoint Global, a leading provider of data management and customer engagement technology, today announced its Data Management technology has been positioned in Gartner Inc.’s 2016 “Magic Quadrant for Data Quality Tools” report[1]. RedPoint Global has appeared in the Data Quality Magic Quadrant every year since 2012. Evaluating the data quality tools market, the report positions providers of data quality solutions based on ability to execute and completeness of vision.

The report defines data quality assurance as encompassing not only technology, but also roles and organizational structures; processes for monitoring, measuring, reporting and remediating data quality issues; and links to broader information governance activities via data-quality-specific policies. The complete report and quadrant graphic are available at: www.redpoint.net/mqfordataqualitytools.

“We are honored to be recognized by Gartner in the Data Quality Magic Quadrant for the fifth consecutive year,” said Dale Renner, CEO and founder of RedPoint Global. “We believe we are well positioned in this market due to the combined scale, speed, precision and agility of our technology. Our customers appreciate the value they receive, not only in terms of broad product functionality, but also in quick return on their investment in RedPoint.”

With RedPoint Data Management, organizations can access all data types from any source without requiring specialized coding skills – reducing costs and increasing the speed at which organizations obtain critical insights. RedPoint Data Management’s data quality routines execute in an automated production flow inside any traditional database or big data/Hadoop environments, so organizations can perform data preparation without moving data. This reduces the latency between aggregating data and leveraging it in analytics, whether business intelligence, offline or real-time, to drive better and faster decisioning and therefore, results. Additionally, since RedPoint doesn’t require moving data out of Hadoop, data quality functions can be performed in near real-time whereas competitive solutions will take anywhere from 72 hours to two weeks to complete these functions.

RedPoint received the highest score in both the Data Integration and Operational/Transactional Data Quality Use Case categories in Gartner’s Critical Capabilities for Data Quality Tools Report[2]. RedPoint also received the second highest scores in Data Migration, Big Data & Analytics, and Master Data Management; and the third highest score in Information Governance Initiatives.

About RedPoint Global

RedPoint Global offers a comprehensive set of world-class ETL, data quality, and data integration applications that operate in and across both traditional and Hadoop 2.0/YARN environments. The company also offers data-driven customer engagement solutions that help companies derive insights from customer behaviors and create consistent, relevant, and precise messaging across any and all channels. All RedPoint applications offer a unique visual user interface that eliminates the need for programming skills, allowing enterprises to utilize all data to achieve their strategic business goals. For more information, visit www.redpoint.net or email: contact.us@redpoint.net.

Magic Quadrant Disclaimer: 

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.

 

[1] Gartner, Magic Quadrant for Data Quality Tools, Saul Judah, Mei Yang Selvage, Ankush Jain, 23 November 2016
[2] Gartner, Critical Capabilities for Data Quality Tools, Ted Friedman, Saul Judah, 18 December 2015