 Sponsored by  Effective analytics are the key to realizing the true value of data. Whether you’re focused on driving customer loyalty, discovering new opportunities, reducing fraud or monetizing your data, uncovering the information you need isn’t easy. Even when you have it – what do you do with it? This Forum gives you practical tools and techniques to help you navigate the digital storm with effective big data analytics, exploring the business, regulatory, legal, cultural and technical issues. | |
Big Data Analytics Strategies & Tactics
| | Chair: Robert Rich, Managing Director TM Forum Insights, TM Forum
Robert J. (Rob) Rich is Managing Director of the TM Forum's Transformation Research Center, the TM Forum Insights Group, and the Publications Group. Mr. Rich has more than 15 years experience in market research and consulting, including 11 years as Executive Vice President of Communications & Networking at the Yankee Group. Prior to that, Mr. Rich spent 17 years in the computer/networking industry, where he held management positions in communications, professional services, software engineering and information technology strategy.
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Welcome Address
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Tuesday, May 14
| 2:00 - 2:05 pm | Speakers: Rob Chimsky, Vice President, Insights, Guavus, Inc.
Speakers: Rob Chimsky, Vice President, Insights, Guavus, Inc. Room: Room 4 | | | |
EXPERT PANEL DISCUSSION: Building the Business Case for Big Data Analytics
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Tuesday, May 14
| 2:05 - 2:45 pm | Speakers: Rob Chimsky, Vice President, Insights, Guavus, Inc. Robert Istepanian, Professor of Data Communications, M Hill Technologies Ltd. Geoffrey Zbinden, Vice President Customer Intelligence, France Telecom Orange Fergus OReilly, Chief Solution Expert, SAP AG Muhammad Salman Sami, Senior Manager, Technical Issue (International Marketing), ZTEsoft Technology Co., Ltd
• What is the business case for big data analysis? What does the start-up investment look like?
• Creating a data-centric culture: impacts on people, processes and systems
• What are the use cases for data analytics and where does it add the most value?
• Becoming a data commodity: aggregating, packing and selling customer insight
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