2014 and Beyond
Karl Schlatzer, senior director of alliances for SAS, told CMSWire that SAP and SAS are evolving their joint platform while “continuing diligence on specific industry and application opportunities and beginning customer validation of the resulting selections.” Expect more announcements throughout 2014, he said.
What’s the partnership all about? In short, the combined platform provides new levels of speed, efficiency and scale for analytic-driven solutions, Schlatzer said.
“Modelcomp” is the SAS Enterprise Miner, data mining software expected to be available on the HANA platform. This shot shows the software comparing two analytics models so that a user can choose the most effective model.
Leaders from both companies also told CMSWire.com that the primary goal is to advance in-memory data analysis capabilities for businesses across industries. The partnership leverages the SAP very fast in-memory HANA platform and the analytics capabilities of SAS software. In simplest terms, it incorporates the HANA platform with SAS advanced analytics algorithms.
The partnership was announced at SAP TechEd in Las Vegas late last month.
Walldorf, Germany-based SAP has a large analytics business and just acquired a predictive analytics company, KXEN.
However, this is an important move on the company's part, Henry Morris, senior vice president of Worldwide Software and Services and Research at the International Data Corporation (IDC), told CMSWire.com. It recognizes that to support the needs and requirements of its customers, SAP needs to integrate with the market leaders inadjacent categories, he explained.
“It's not an exaggeration to note that SAP's broad ecosystem is a key contributor to its market success,” Morris said. "And so, even though SAP has become a broader company — moving beyond enterprise apps to analytics, database, mobility — SAP still needs to ensure that market leaders in adjacent categories work well with SAP technology. This is true even though SAP has competing offerings.”
At its core, this partnership’s core objective is to “significantly improve overall performance, scalability, and cost-effectiveness of large-scale analytic-driven applications for joint SAS-SAP customers,” Schlatzer said.
SAS-SAP targets specific business areas, Schlatzer added, where the combination of SAS advanced analytics running on the HANA in-memory data and application platform can be expected to yield high-value customer results.
“In so doing, it will provide significant competitive advantage to both SAS and SAP relative to legacy architectures and competitive platforms,” Schlatzer continued. “Executives at both SAP and SAS feel the collaboration can create additional revenue opportunities in both current and new markets.”
“Interactivegraphs” is the SAS Enterprise Miner, showing how users can explore big data using interactive features.
Morris said SAP HANA reduces latency in the data for analysis and provides increased flexibility for users to ask questions of the data. That can eliminate the need for IT to build analytic structures such as pre-aggregated cubes.
One important area of the SAS advanced analytics software involves predictive models. That is “gaining even more importance now, driven by business needs to predict how customers will respond to offers, identifying likely fraud, or predicting when a physical asset is likely to fail,” Morris added.
As data sets increase in size, it’s more efficient, Morris said, to move the model (SAS) to the data (SAP HANA) than the other way around.
“This is important, as increasingly models are being applied in near real-time environments as part of business operations,” Morris said. “This goal is tough to achieve when customers have to export data to SAS and then export the results of the model back to the operational environment. This relationship brings these two areas together in a way that will benefit customers who are both SAP-dependent and SAS-dependent.”
Who Are the Stakeholders?
According to Schlatzer, stakeholders of this partnership could range from IT organizations with a simplified IT landscape and reduced data movement to business leaders attempting to leverage existing SAS investments and skills in strong alignment between the SAS and the HANA technology map.
“The SAS-SAP collaboration also enables their global systems integrator and other mutual partners to leverage the combined strengths to imagine and deliver ‘new’ solutions, without the barriers typically separating transactional and analytic processes,” Schlatzer said.
The combined architecture, he added, sets the stage for “in-process” real-time analytics and decision-making that are already becoming important within process-centric industries, and can embed intelligent real-time identification and response deep in emerging “Internet of Things” (Machine2Machine).
Latest on SAS and SAP
As we noted earlier, SAP bought KXEN in September. The next day, we announced at the TechCrunch Disrupt conference that SAP inked deals with Hortonworks and Intel to resell its Apache Hadoop distributions, making it easy to work with structured, semi-structured and unstructured data at the same time.
And SAP this year has been cited in virtually all of Gartner’s Magic Quadrants, including the Enterprise GRC last month.
SAS, meanwhile, has also appeared in most Gartner reports and Forrester Waves, including the leader snapshot of the big data predictive analytics market.
It should be noted that in June Gartner published statements showing sales figures for business intelligence (BI) applications taking a dramatic nose-dive. The market, it said, is being hit by the triple whammy of poor economic conditions, enterprise confusion over analytics and big data, and signs of market fragmentation caused by new entrants with funky new offerings. We expect the SAS-SAP partnership to help buck that trend a bit.
Going forward, it’s best to keep an eye on SAP TechEd this week in Amsterdam and from Dec. 11 to 13 in Bangalore, India. Follow the hashtag #SAPTechEd.