Wellesley Hills, Mass. – Jan. 6, 2016 – RedPoint Global (www.redpointglobal.com), a leading provider of data management and digital marketing software, announced today that, for the second time in a row, the company 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[1]. 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. The full report may be downloaded here: https://www.redpointglobal.com/knowledge-center/gartner-critical-capabilities-data-quality-tools-report/.

“We’re reaching a tipping point in which nearly every decision will be driven by data. That means everyone will need to pay particular attention to the quality of their data. Without data quality, you can’t make truly informed business decisions,” said Dale Renner, CEO and founder of RedPoint Global. “We feel it’s significant to have Gartner’s recognition. We believe it shows that the work and care we put into our products is recognized by our customers and analysts who understand and appreciate software excellence.”

RedPoint was one of 18 companies evaluated in this report. To be included, vendors must offer stand-alone packaged software tools or cloud-based services that are positioned, marketed and sold specifically for general-purpose data quality applications; deliver functionality that addresses, at minimum, profiling, parsing, standardization/cleansing, matching and monitoring; support this functionality with packaged capabilities for data in more than one language and for more than one country; support this functionality both in scheduled (batch) and interactive (real-time) modes; support large-scaled deployment via server-based runtime architectures that can support concurrent users and applications; and maintain an installed base of at least 100 production across more than one region, maintenance/subscription-paying customers for the data quality product(s) meeting the above functional criteria.

“As we head into the New Year, the quality of data, along with the scalability and performance of data management solutions, will only increase in importance,” continued Renner. “The success of our customers is our top priority, and we look forward to continuing to serve data management and data quality tools in 2016.”

Gartner defines Operational/Transactional Data Quality as the capabilities applied to controlling the quality of data created by, maintained by, and housed within transaction applications. Data Integration is defined as capabilities applied within data integration processes and architectures in support of both data consolidation for analytics and operational application integration.

About RedPoint Global Inc.

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 please visit www.redpointglobal.com or email us at: contact.us@redpointglobal.com.

Disclaimer:

Gartner does not endorse any vendor, product or service depicted in our 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, Critical Capabilities for Data Quality Tools, Ted Friedman, Saul Judah, 18 December 2015