Door Sharon Tijssen | 02.12.2016 09.27
SAP continues to deliver on our key commitment to customers to innovate our core analytics applications and their enabling capabilities.
Join us on December 8 to learn more about the highly anticipated 2017 release of SAP BusinessObjects Lumira 2.0, the expanded modeling and scalable machine learning capabilities of SAP BusinessObjects Predictive Analytics 3.1, and the extended market availability of SAP BusinessObjects Roambi around the globe.
As we move towards 2017, this webinar will give you the perfect opportunity to explore how these solutions can help you predict, visualize, and extend your digital enterprise in the year ahead.
Our panel of analytics experts will discuss trends driving analytics innovations, and how to take advantage of what’s coming next. During this live call you will:
- Experience a sneak preview of how SAP BusinessObjects Lumira 2.0 will provide a powerful expanded visualization solution, enabling access to departmental data, and the ability to upscale to enterprise-level analytic applications
- Learn how the newest 3.1 release of game-changing SAP BusinessObjects Predictive Analytics can scale the usage of machine learning across your entire enterprise and manage thousands of models throughout their lifecycle with the predictive factory
- See how SAP BusinessObjects Roambi extends our enterprise BI portfolio to target on-the-go data consumers and decision makers looking for a premium mobile analytics experience
- Have plenty of opportunities to ask questions through live chat or twitter
This is your opportunity to join the conversation and share your thoughts on where your organization and industry is headed in 2017, and gain insight into core innovations in the SAP BusinessObjects solution portfolio.
Connect with us and submit your questions via Twitter with #askSAP.
Don’t miss this key learning opportunity!
Joyce Butler, Nexeo Solutions, LLC, SAP Mentor @_ButlerJ
Joyce Butler has more than 15 years of experience in Information Management and Business Intelligence/Analytics. She has led more than 10 full life cycle SAP BusinessObjects BI projects within finance, supply chain, and human resources, and architected and implemented self-service analytics. Her finance experience spans 10 years, with various positions at the corporate, sector, and plant levels.
Blair Wheadon, General Manager of Data Discovery, SAP @BlairTWheadon
Blair works to understand the data discovery challenges of our customers, share best practices, and evangelize solutions. He advises customers, analysts, and partners on SAP’s business intelligence portfolio strategy, roadmap, client tool strategy, and licensing details. Prior to joining SAP in 2003, Blair was a developer and product manager for Siebel Systems. He holds a Bachelor of Science degree in Computer Science from the University of Calgary.
Richard Mooney, Lead Product Manager, Predictive Analytics Products, SAP
Richard is the lead product manager for advanced analytics, which includes SAP BusinessObjects Predictive Analytics, predictive integrator, and HCP machine learning services. His primary focus is to enable companies to build and deploy predictive models at scale, to be used by business users to generate ROI. Richard has 20 years of experience in the software industry in diverse roles, from development to marketing and sales. He now leads a product management team focused on understanding the predictive needs of SAP customers, and delivering the tools and platform to meet those needs.
Ian Grange, SAP BusinessObjects Roambi EMEIA Presales Director, SAP, @mind_robber
Ian has more than 25 years of experience promoting and implementing IT products and services, primarily in mobile business intelligence, analytics, and corporate performance management, coupled with extensive industry knowledge, mainly in financial services. Ian was EMIA Technical Sales Director for leading mobile analytics provider Roambi, until its acquisition by SAP in 2016. He now works in the SAP Global Centre of Excellence, with a continuing focus on SAP BusinessObjects Roambi.