SAS a leader in big data predictive analytics per research report
SAS offers ‘almost every feature a data scientist or business user could ever want.’
Noting SAS’ “unmatched breadth and depth” in its analytics solutions, “The Forrester Wave™: Big Data Predictive Analytics Solutions, Q2 2015” named SAS a leader. The report scores the business analytics leader’s product offerings, strategy and market presence.
Forrester Research awarded SAS 4.68 out of a possible 5.00 points in the current offerings category and 4.11 for strategy. Current offering scores are based on factors such as architecture, analysis, and usability and tooling; strategy is based on acquisition and pricing, implementation support, solution road map and other factors. Forrester rated SAS as 5.00 for market presence, which it draws from evaluations of the vendor’s partnerships, customer base and financial results.
“SAS continues to be an analytics powerhouse,” the report states. “With a strategic focus on analytics since 1976, it is no surprise that SAS offers predictive analytics solutions that offer almost every feature a data scientist or business user could ever want. SAS also keeps up with the evolving needs of analytics users. SAS Visual Analytics provides data scientists with an all-in-one visualization tool and predictive analytics solution. SAS solutions are also integrated with open source R, Python and Hadoop.”
Numerous enterprises depend on SAS® predictive analytics to provide competitive insights. But new technologies such as Hadoop, in-memory processing, streaming analytics, cloud computing and machine learning paired with faster, less expensive computing platforms are compelling organizations to modernize their analytics infrastructures. Everyone wants faster and better answers, using more data.
“As SAS customers scramble to tackle emerging challenges and opportunities, SAS is there to lead with product innovations and answers,” said SAS Executive Vice President and Chief Marketing Officer Jim Davis.
He said that customers frequently ask several questions:
- “How do I manage and use big data?” Organizations need to get comfortable with Hadoop and consider SAS solutions that simplify using predictive analytics and machine learning.
- “How do I get answers faster?”’ Stream data through models with SAS Event Stream Processing.
- “Where do I start with so much data?” Self-service visual exploration is a great way to dive into data.
- “What can I do to avoid a costly, lengthy project deployment?” Cloud computing is the answer.
“SAS anticipated these customer requirements in advance of the need, so we’ve got the right answers. Next-generation SAS analytics are ready now,” said Davis.
To better understand the value of big data, please read about Hadoop and its key role in the big data analytics opportunity.