Succeeding with Analytics in a Big Data World

shutterstock_227687962 (1) - CopyBig data is receiving a lot of press these days including from this author.  While there continues to be constructive dialog regarding whether volume, velocity, or variety are the most important attributes of big data movement, one thing is clear. Constructed correctly, big data has the potential to transform businesses by increasing sales and operational efficiencies. More importantly, when big data is combined with predictive analytics, big data can improve customer experience, enable better targeting of potential customers, and improve the core business capabilities that are foundational to a business’s right to win.

The problem many in the vanguard have discovered is their big data projects are fraught with risk if they are not built upon a solid data management foundation.  During the Big Data Summit, you will learn directly for the vanguard of big data. How have they successfully transition from the traditional world of data management to a new world of big data analytics. Hear from market leading enterprises like Johnson and Johnson, Transamerica, Devon Energy, KPN, and Western Union. As well, hear from Tom Davenport, Distinguished Professor in Management and Information Technology at Babson College and the bestselling author of “Competing on Analytics” and “Big Data at Work”. Tom will share in particular his perspective from interviewing hundreds of companies about the successes and failures of their big data initiatives. Tom Davenport initially thought big data was just another example of technology hype. But his research on big data changed his mind. And finally hear from big data thought leaders including Cloudera, Hortonworks, Cognizant, and Capgemini. They are all here to share their stories on how to avoid common pitfalls and accelerate your analytical returns in a big data world.

To attend in person, please join us on Tuesday the 12th at 1:30 in Las Vegas at the Big Data Summit. If you cannot join us in person, I will be share live tweets and videos through twitter starting at 1:30 PST. Look for me at @MylesSuer on twitter to follow along.

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Author Twitter: @MylesSuer

 

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