Business software major SAP today announced the acquisition of the Roambi analytics and data visualization solution to bring mobile access to analytics.
The Germany-based software giant announced the launch of new SAP Predictive Analytics software in the near future. It is currently available to analysts and developers for preview.
SAP, which competes with IBM in the enterprise IT market, is offering a trade-in promotion to help users move away from SAP rivals’ disparate desktop tools to SAP offerings, said the business software vendor at SAPinsider BI 2016, being held February 16–19 in Las Vegas, and Spark Summit East, being held February 16–18 in New York.
Steve Lucas, president, Digital Enterprise Platform of SAP, said: “We aim to deliver analytics for everyone, available in the cloud and on premise, designed to be ubiquitous and real time — something niche players in the analytics space cannot offer.”
Majority of the workforce does not have access to analytics, especially when traveling or working remotely. Roambi’s analytics and data visualization solution enables users from frontline staff and consumers to managers and executives to view, interact with and share data anytime, anywhere, said SAP.
“We use SAP Predictive Analytics as part of our larger SAP deployment, which includes SAP HANA, to find out when one of our products might fail,” said Anders Reinhardt, head of business intelligence, VELUX A/S.
“This not only helps from a cost-saving perspective, but it also enables us to let our customers know we might have an issue and, more important, explain how we can fix that issue. It’s about creating a better customer experience,” Anders Reinhardt said.
The new version of SAP Predictive Analytics will have features such as native Spark modeling to analysts and data scientists to increase performance when analyzing data in Hadoop-based environments.
SAP Predictive Analytics 2.5 will increase productivity and performance through ensemble modeling and tighter integration with libraries for SAP HANA. The introduction of native Spark modeling leverages Spark to perform a number of automated predictive analysis tasks without requiring costly data transfers outside of the Hadoop environment.