Cary, NC (Nov 25, 2015)
Gartner Inc.’s November 2015 Magic Quadrant for Data Quality Tools places SAS in its Leaders quadrant, based on completeness of vision and ability to execute. This is the 10th year that SAS has been included.
“Being recognized by Gartner for 10 years is a testament to SAS’ longtime leadership in providing data quality tools,” said Matthew Magne, Global Product Marketing Manager for Data Management at SAS. “SAS® Data Management and data quality tools are easy to use for IT and business users. Because they provide trusted data for both operational and analytical use cases, they are pivotal to data governance initiatives in many organizations today.”
According to Gartner, “When evaluating offerings in this market, information leaders must consider not only the breadth of functional capabilities they require (for example, data profiling, parsing, standardization, matching, monitoring and enrichment), but also the degree to which this functionality can be readily understood, managed and exploited by staff in business roles, not just IT staff.”
“Only SAS can profile, standardize, and enrich data where it lives – in memory, in Stream, in Spark, in database or in Hadoop. There’s no need to move it,” added Magne. “And our cloud-based deployment option gets organizations up and running with the technology faster.”
The report’s authors note that, “Our 2015 research shows that CEOs' top-three priorities are customer experience management, digital marketing and business analytics. “To achieve these objectives, CIOs, CDOs and information leaders must ensure that the key information their enterprise holds about customers, products, suppliers and assets — and their interrelationships — is of sufficient quality (that is, fit for purpose and trusted) to enable profitable business operations. Otherwise, efforts to achieve these objectives will be impeded, which will result in less value for shareholders, reduced competitiveness, rising operational costs, loss of customers to competitors, and, potentially, fines for noncompliance with regulations.”
SAS Data Quality provides trusted data both at the point of interaction and as part of existing batch processes. That helps organizations make better decisions and align information stewards with IT resources to remediate any data problems. SAS Data Loader for Hadoop provides self-service big data preparation for business users and data scientists. SAS also enables organizations to manage the entire data quality life cycle. With data constantly flowing in and out of businesses, SAS establishes repeatable processes to build and maintain high-quality data.
Highlighting the size of the market for Data Quality Tools, Gartner notes, “The data quality tools market continues to grow strongly. Gartner estimates that it reached $1.4 billion in software revenue at the end of 2014. This translates into 11.6% growth in constant-dollar terms over 2013, which had brought 11.9% growth over 2012. Gartner forecasts that this market's growth will accelerate during the next few years, to 14.4% by 2017, bringing the total to $2.1 billion. This market is among the fastest-growing in the enterprise software sector.”
About the Magic Quadrant
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.