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Data-Centric Security Solution Innovator Achieves Key Milestones as it Meets Growing Demands of the Data-Driven Enterprise
FREMONT, CA — January 19, 2016 – /BackupReview.info/ — Dataguise, a technology leader in secure business execution, today announced strong growth in 2015 as demand for its flagship solution, DgSecure®, escalates. Year-over-year (2014-2015) revenue grew 460 percent in 2015 and is on track to increase in 2016, demonstrating that the company’s solution for protecting sensitive information in big data, unstructured data, and RDBMS addresses the requirements for secure business execution.
According to International Data Corporation (IDC), “The big data technology and services market is a fast-growing, multibillion-dollar worldwide market. It is expanding rapidly as large IT companies and start-ups vie for customers and market share. IDC expects the big data technology and services market to grow at a 26.24 percent compound annual growth rate through 2018 to reach $41.52 billion.”
2015 was a notable year for Dataguise as the company entered new markets and introduced advanced technology to detect, audit, protect, and monitor sensitive data. The pillars that support the company’s year-over-year revenue growth of 460 percent include the adoption of DgSecure by Fortune 500 customers more than three times over the previous year. 25% of new sales resulted from cloud-based deployments of the data-centric security solution across platforms such as Microsoft Azure and Amazon S3. Dataguise also signed many new partners, for a 400 percent increase in indirect sales channel growth that now includes partners such as Trace3 and Optive. Sales infrastructure was also expanded to meet the rising demand with 12 new sales team members added in 2015.
“Enterprises understand the opportunities that are possible with secure data analysis and Dataguise allows for this on the preferred IT platforms in use today,” said Eric Hankins, chief data intelligence architect, Trace3. “Additionally, Dataguise’s solution mitigates the risk associated with combining previously untapped data blending enabled by data lakes. With this, organizations gain new insights and drive additional revenue streams at lower costs by leveraging the insights gained from compliant data analytics, whether on-premise or in the cloud. We applaud the efforts of Dataguise in this space.”
“The importance of business analytics driven by the insights of data is helping organizations to better understand all areas of their business,” said Tim Stevens, vice president, corporate and business development, Cloudera. “In many cases, this data may assist in strengthening profit centers or generating new revenue. Dataguise enhances business analytics by ensuring data security is part of the process.”
“With a platform that enables global real-time data applications, enterprises are engaging MapR to tap the universe of big data in new and innovative ways,” said Steve Wooledge, vice president product marketing, MapR Technologies. “As a respected partner, Dataguise provides additional assurance for organizations that demand absolute protection and security to safely let the broadest set of users analyze highly sensitive data whether in-flight or at-rest. We are pleased that the trust they have earned is driving traction for DgSecure.”
“Secure business execution is a top priority as organizations seek to leverage the untapped potential of data,” said Manmeet Singh, CEO, Dataguise. “Dataguise safely unlocks the value of organizational data to facilitate the data-driven enterprise, enabling businesses to use data as a strategic asset and to make much smarter decisions. Thanks to our entire team, the success of Dataguise is a result of the safe delivery of insights to our customers, opening the door to exponential growth opportunities.”
To learn more about Dataguise and DgSecure, please visit our resource center at http://www.dataguise.com/resources
Tweet This: @Dataguise Gains Strong Momentum with 460% Growth as Organizations Move Toward Secure Business Execution –http://goo.gl/GdDTgd – #BigData
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