Dec. 7, 2011: Keeping It Real: Real-Time Data Analytics
Imagine such fast access to all of your data - even field-fresh information less than a minute old - that when you ask a question, you get an informed answer in milliseconds!
Not minutes, hours or days like youād get from spreadsheets on different computers. Milliseconds. Essentially āreal-timeā.
Now think of the powerful intelligence this would give you in response to āI want it nowā customers and do-or-die business decisions. Youād have immediate and deeper insights about sales, customers and pipeline from any source.
Guess what? Organizations that already harness automated analytics are able to take a scientific, predictive approach to decision making. And if theyāre your competitors, watch out because theyāre winning, even in this tough economy.
Pour yourself a fresh cup of Joe, Earl or OJ and join us for food for thought as we explore the world of real-time analytics. Ā BTW: Tweet questions for our experts to #SAPRadio.
Click to listen on-demand at your convenience.
Tom Davenport holds the Presidentās Chair in Information Technology and Management at Babson College, where he teaches MBAs and executives about decision-making and analytics. He is also a Senior Advisor to Deloitte Analytics. His most recent book is Analytics at Work: Smarter Decisions, Better Results. In 2003, he was named one of the Top 25 consultants in the world by Consulting magazine. In 2007 and 2008, he was named one of the 100 most influential people in the IT industry by Ziff-Davis magazines. He directed research centers at Ernst & Young, McKinsey & Company, CSC Index, and Accenture. Tom has written, co-authored or edited 13 books, including the first books on analytical competition, business process reengineering, knowledge management, and the business use of enterprise systems. His articles and columns have appeared in the Harvard Business Review, Sloan Management Review, California Management Review, Financial Times, Information Week, and CIO.Ā
Chris Dinkel has over 12 years managing, developing and implementing large-scale complex information systems. His extensive experience includes all phases of the SDLC of enterprise wide Data Warehouses, Business Intelligence solutions, Custom client/server and Web Applications. His prior background includes project management, ETL, business analysis, design, development, and administration of Data Warehouses supporting SAP, PeopleSoft, relational databases, and SAP BW/BusinessObjects systems.Ā He has helped large and small enterprises build out robust reporting and analytic architectures that support operational, ad-hoc, and dashboard requirements. The hundreds of reports, analytics, metrics, and dashboards he has built are in global use.Ā He is currently an IT Leader responsible for delivery of Business Intelligence and Data Analytics to the 45,000 professionals of the US Member Firms of Deloitte.
Allen Bonde, CMO at The Pulse Network, entrepreneur and industry watcher with 20 years in online marketing, CRM, and e-commerce.Ā Allen helps Pulse clients evolve their digital marketing and business strategies to include video content, community engagement and social media campaigns. Previously, he was co-founder and CMO at social marketing tools pioneer Offerpop; CMO and SVP of strategic services at eVergance; and started the Internet Computing practice at Yankee Group. Allen began his career in corporate R&D telecom, where he received a US patent. He has appeared on CNBC, Fox News and PBS television, and blogs for 1to1Media, oneforty.com, Social Times and WOMMA. He was named a Top CMO on Twitter by Social Media Marketing Magazine in 2010.
Dan Kearnan is the Marketing Director for SAP Data Warehousing at SAP Americas. With more than 15 years experience working with large and mid-size companies to help define and plan their BI and DW strategies, he brings extensive knowledge in business intelligence, enterprise resource planning and data warehousing applications to his current role. Dan works within a larger group at SAP to help shape, define and communicate SAPās business intelligence and data warehousing strategies.