SAS® receives 2 out of 3 highest product scores in Gartner Critical Capabilities for advanced analytics platforms
SAS scored highest in two of three advanced analytics platforms use cases, Large Data Science Teams and Citizen Data Scientists as defined by Gartner Inc. researchers, and second highest score for a third use case Small to Midsize Data Science Teams, according to Gartner's February 2016 "Critical capabilities for advanced analytic platforms" report.
Looking at the organisations that invested in advanced analytics platforms to become more successful, industry researchers at Gartner defined three use cases: large data science, small to mid-size data science and citizen data science environments.
With a best possible score of 5.0, SAS received the highest score in large data science environments with a score of 4.37. SAS likewise scored highest for citizen data science applications at 4.12. For small to midsize data science use cases, SAS scored second in the field of 16 advanced analytics providers at 4.20.
"Our customers harness the power of SAS Analytics to infuse confidence in every business decision they make," said Hugo D'Ullise, Head of Analytic Platform at SAS UK & Ireland. "Our advanced analytics software is combined with cutting-edge, innovative algorithms that help organisations solve even the most challenging problems."
A companion to Gartner's February 2016 "Magic Quadrant for Advanced Analytics Platforms" report, the new research aims to help an organisation chose the technology best suited to its needs.
Gartner defines advanced analytics as analysis of all kinds of data using methods such as statistics, descriptive and predictive data mining, machine learning, simulation and optimisation to find insights that traditional approaches to business intelligence including traditional query and reporting can't.
The SAS products evaluated in the Gartner report included structured and unstructured analytics, decision management, visualisation, and data management offerings, with an emphasis on SAS Enterprise Miner, SAS Factory Miner and SAS Visual Statistics.
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