Many companies are searching for ways to leverage the multitude of external social media data as well as internal campaign data to make informed critical business decisions. Managers and employees need tools to identify trends and relationships between the available data and sales in real time.
The Lab for SAP Solutions at IBM has partnered with SAP to show how a company can now use SAP Predictive Analysis to easily design predictive models that are relevant to its specific business needs and goals, visualize data from internal and external sources, and share insights immediately
In this live Webcast, learn how to:
Charles Gadalla, Director, Advanced Analytics Solution Management, SAP
Charles Gadalla first joined Seagate Software in 1998 working on the Seagate Crystal Info product management team. He left after the Veritas acquisition to join a data mining start-up in Boston called Quadstone, where he worked in both product management and pre-sales. After a move to Edinburgh, Scotland, Charles worked in high- performance computing for the Edinburgh Parallel Computing Centre in the University of Edinburgh.
In 2006, Charles rejoined Business Objects as the director of the Microsoft ecosystem, responsible for SharePoint integration and developing partnerships with the Microsoft technical teams for mutual collaboration. Currently he is responsible for SharePoint, CVOM, Live Office, Google, Google Maps, BI for Duet, and Microsoft technologies.
Gagan Reen, Lab for SAP Solutions Leader, IBM Global Business Services
Gagan Reen is the Leader for the Lab for SAP Solutions at IBM GBS. His background is SAP Business Analytics with key focus on Business Objects, SAP HANA, SAP BW & BI. He is responsible for driving new SAP technology innovations within IBM GBS SAP practice. He leads a large global team with a key focus to showcase Industry specific Use Cases & Accelerators highlighting strategic areas such as Mobility, Analytics, HANA & cloud.
Gagan also works very closely with SAP Labs Product, Solution Management Groups & IBM Research with an emphasis to drive co-innovation, R &D within new SAP technologies at the Lab.