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Thanks to improved measurement tools, it is now standard among social strategists to present hard data on ROI and build strategies backed by statistics and charts - a far cry from the early years of social media. But while this data makes for great PowerPoints, concerns remain that numbers don't tell the whole story. What does "reach" really mean? Can influencers really be ranked on a single numerical spectrum?

Enter predictive analytics: Advocates suggest that simply pulling numbers from Big Data tools isn't enough - you need to match the data to the story that you are trying to tell, and liberate information from what Wes Nichols calls "swim lanes". Each piece of an organization has a different picture of the data, and only combined do they provide meaningful lessons.

This webinar is designed as a heart-to-heart conversation about the right and wrong ways to make use of predictive analytics. Join us to learn:

  •  How to select the right source for predictive analytics
  • How to tailor your analytics to the story that you want to tell
  • How to leverage your social data across silos to maximize accuracy
  • How to properly read your analytic results

About the Panel:


Image Mike Liddell: General Manager, Digital Before coming to NGP VAN, Mike started working on state legislative and congressional campaigns to later become the Director of Online Communications for the 2004 Democratic National Convention. He then put in two tours of duty as the Director of Online Communications for the Democratic Senatorial Campaign Committee (DSCC). Most recently, he served in the Obama Administration, where he led the award-winning redesign of Treasury.gov. Over the years, he has provided new media strategy for countless campaigns, PACs, and non-profits throughout the country.

ImageEric Siegel, Ph.D., founder of Predictive Analytics World and Text Analytics World, and Executive Editor of the Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. In addition to being the author of Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, Eric is a former Columbia University professor who used to sing to his students, and a renowned speaker, educator, and leader in the field. He has appeared on Bloomberg TV and Radio, Fox News, BNN (Canada), Israel National Radio, Radio National (Australia), The Street, Newsmax TV, and NPR affiliates. Eric and his book have been featured in Businessweek, CBS MoneyWatch, The Financial Times, Forbes, Forrester, Fortune, The Huffington Post, The New York Times, The Seattle Post-Intelligencer, The Wall Street Journal, The Washington Post, and WSJ MarketWatch.


Image Kaiser Fung is Vice President of Business Intelligence and Analytics at Vimeo. He is a recognized expert and speaker in business analytics, and data visualization. He has built and managed data science teams responsible for turning data into practical insights for Internet, entertainment and financial services companies, such as Vimeo, SiriusXM Radio, and American Express. He holds an MBA from Harvard Business School, in addition to degrees from Princeton and Cambridge Universities. He is an adjunct professor at New York University teaching practical statistics. He is the author of two books and two blogs. His most recent book is Numbersense: How to use Big Data to Your Advantage (McGraw-Hill, 2013). His acclaimed blog, Junk Charts, pioneered the critical examination of data and graphics in the mass media.