Join us at the Analytics Campus at SAPPHIRE NOW: Find out how analytics solutions from SAP empower individuals, teams, and business networks to meet their goals and gain competitive edge. With analytics, you can gain real-time predictive insight into Big Data, drive alignment within your organization and across lines of business, better manage risk and opportunities, and help your business run better. Learn first-hand the potential for positive business impact by exploring the latest innovations in analytics, and network and share best practices with analytics experts and your peers.
View all of the analytics campus sessions. Interested in just a subset? Here are the direct links to the agendas for:
- Applied Analytics (8 sessions)
- Business Intelligence (27 sessions)
- Enterprise Performance Management (18 sessions)
- Governance, Risk, and Compliance (22 sessions)
- Predictive Analytics (10 sessions)
Interested in getting the best overview in the shortest amount of time?
Here’s our suggestions for the top eight analytics sessions (you can add these all to your personal agenda at the same time by going to this page and choosing the “analytics” section towards the bottom of the page):
This discussion focuses on data discovery and ways various types of users gather insight from personal and enterprise sources. Learn how to get more out of your business intelligence with SAP Visual Intelligence software.
Session ID: 4364, Wed., 02:00 p.m. – 02:45 p.m. Business Intelligence Microforum Discussion, Analytics Campus
Why you might be interested: SAP Visual Intelligence extends the notion of “self-service” analytics — you can not only easily access information from corporate sources, but also grab, manipulate and analyze your own information sources on the fly.
Achieve an efficient, sustainable competitive advantage with better internal controls. Learn from one company about its experience with SAP solutions for GRC, including the SAP Access Control, SAP Process Control, and SAP Risk Management applications, to improve its internal controls environment.
Session ID: 5001, Wed., 05:30 p.m. – 05:50 p.m. Governance, Risk and Compliance (GRC) Theater Presentation, Analytics Campus
Why you might be interested: Analytics technology has moved forward in leaps and bounds, and more information in the hands of more people means more value – but also more security, risk, and compliance concerns. GRC is like the brakes on a Ferrari – it helps you go faster, with more confidence, knowing that measures are in place to stop excesses.
This discussion focuses on how you can get started with Big Data and predictive analytics initiatives. Learn how you can begin to calculate the monetary value of investing in Big Data and predictive analytics for your organization.
Session ID: 6274, Wed., 02:00 p.m. – 02:45 p.m. Predictive Analytics Microforum Discussion, Analytics Campus
Why you might be interested: Predictive analytics has been the “next big thing” in analytics for decades, but new in-memory technology and easier interfaces has meant a surge in new possibilities.
Drive better decision making with the latest in analytics solutions. Discover how innovations in predictive, visual, social, and mobile analytics are helping organizations like yours explore and interpret data in a variety of ways. And understand how you can use these innovations to deliver the best information to your teams.
Session ID: 6953, Wed., 11:30 a.m. – 11:50 a.m. Applied Analytics and Data to Decisions Bundles, Theater Presentation, Analytics Campus
Why you might be interested: Analytics is nothing without action, and action takes an end-to-end system, aligned with your industry and business processes — at an appropriate price.
Improve the speed of your business planning and budgeting processes by accessing the processing power of in-memory technology. Hear how one company is using SAP Business Planning and Consolidation, version for SAP NetWeaver, now powered by SAP HANA, to create dramatic improvements in planning and budgeting.
Session ID: 5004, Wed., 04:30 p.m. – 04:50 p.m. Enterprise Performance Management Theater Presentation, Analytics Campus
Why you might be interested: in-memory technology is knocking down traditional barriers between operational and planning systems, and the finance function is at the forefront of that revolution.
Learn how one company is empowering its business users to tap into Big Data, perform data mash-ups, and get answers to business questions through self-services. Discover how SAP Visual Intelligence software enables fact-based decision making and can get end users up and running quickly with a point and click interface and engaging visualizations.
Session ID: 4357, Tue., 03:00 p.m. – 03:20 p.m. Business Intelligence Theater Presentation, Analytics Campus
Why you might be interested: SAP Visual Intelligence is great in theory – come hear how one organization found it in the real world.
Discover how companies like yours are using real business intelligence (BI) to make smarter, faster decisions. Learn how companies are capitalizing on innovations in BI to quickly build and launch solutions and increase user adoption. Find out how to implement for SAP BusinessObjects BI solutions and optimize your software investment.
Session ID: 4356, Tue., 11:00 a.m. – 11:30 a.m. Business Intelligence Panel Discussion, Analytics Campus
Why you might be interested: Find out the latest advances in SAP BusinessObjects technology features, all prioritized through customer input.
Implement new technology innovations in enterprise mobility, performance management, governance, and risk. Hear how SAP and our customers are using technology to transform the role of their finance organizations. Explore ways to help boost productivity, responsiveness, and transparency, while enabling better decision making.
Session ID: 5005, Wed,. 02:00 p.m. – 02:30 p.m. Enterprise Performance Management, Panel Discussion, Analytics Campus
Why you might be interested: the Finance function has perhaps the most to gain from the new technologies, with the ability to get new insight into forward-looking “signal” data, and turning high-level corporate plans into actionable programs.