Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Just to review, analytic processes often result in the outputting of a new piece of information. Examples include a customer’s likelihood to purchase a product, the optimal price point for a product, or the expected lift in sales that a specific location will see during a promotion.
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Business resources will help define the problems and ensure practical considerations are accounted for. Analytic resources will dig through the data and perform the required analysis. IT resources will help manage the data volumes,
Bill Franks • Taming The Big Data Tidal Wave: Finding Opportunities in Huge Data Streams with Advanced Analytics (Wiley and SAS Business Series)
Technology Infrastructure + Artificial Intelligence Is there a way to structure, pipe and manage data better?Are there ways to improve productivity given the information overload and noise we have in our work communication?Can we make access to information affordable?Can we assist in critical machine to machine communication?Can we make it easy to ... See more
Jay Zaveri • World's Hardest Problems
You can start to look at patterns over years, over seasons, across demographics.” Hadoop, however, is not easy to use and you need a great deal of training and expertise that many companies don’t yet have. Alternatively, you can use an implementation such as Amazon EMR, which removes much of the complexity, as Etsy has done.