SAP SE today announced plans to accelerate its leadership position in the cloud with innovations built on the SAP HANA platform, predictive capabilities and mobile business intelligence that aim to enable users to benefit from consumer-grade experience and enterprise-scale performance.
With the acquisition of the Roambi suite of solutions and related key assets, SAP intends to bring mobile access to analytics to everyone. In addition, SAP unveiled new predictive capabilities to analysts, developers and partners with SAP Predictive Analytics software planned for availability in the near future. Furthermore, a special trade-in promotion is now available to help users move away from other vendors’ disparate limited-functionality desktop tools to SAP offerings that aim to bring easy-to-use analytics solutions independent of IT or line-of-business needs. The announcement was jointly made at SAPinsider BI 2016, being held February 16–19 in Las Vegas, and Spark Summit East, being held February 16–18 in New York.
“The old analytics strategy-to-execution loop is not real time, agile or democratic enough to adjust to digital realities,” said Steve Lucas, president, Digital Enterprise Platform, SAP. “SAP, a global leader in analytics, has completely changed the game and is now delivering a broad set of consumer-grade analytics solutions at enterprise scale across every industry and line of business. SAP aims to deliver all-in-one 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.”
With these planned innovations and recently announced offerings including the SAP Cloud for Analytics solution for unified analytics and the SAP Digital Boardroom for live monitoring, SAP continues to deliver all-in-one analytics to help customers reimagine their business.
SAP Aims to Allow Mobile Business Intelligence Users to Stay Competitive in an Always-On Business Environment
Even today, the majority of the workforce still does not have access to insightful analytics, especially when traveling or working remotely. SAP has been focused on remedying this issue and is recognized as a mobile business intelligence leader. With the acquisition of the Roambi suite of solutions and related key assets, SAP intends to continue delivering innovations that enable users with tangible, easy-to-use analytics solutions that can retrieve relevant data anywhere, anytime.
Roambi is a mobile-centric analytics and data visualization solution that redesigns the way the world uses critical information by enabling people from frontline staff and consumers to managers and executives to view, interact with and share data anytime, anywhere.
SAP Predictive Analytics and Predictive Services Aim to Help All Types of Personas
SAP Predictive Analytics already helps provide a foundation to build and manage a massive number of predictive models to train and score against a variety of targets including enterprise relational sources, existing SAP software systems and Big Data sources either directly or through Spark.
“We use SAP Predictive Analytics as part of our larger SAP deployment, which also 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.”
The new version of SAP Predictive Analytics plans to bring a new set of features such as native Spark modeling to analysts and data scientists. The features are intended to dramatically increase performance when analyzing data in Hadoop-based environments. SAP Predictive Analytics 2.5, planned to be generally available in the near future, is designed to increase a data scientist’s productivity and performance through ensemble modeling and tighter integration with libraries for SAP HANA. The planned 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.
To read full press release, click here.