Overview: While I fully expect each enterprise to add its own flavor to the mix, here's one way to get the big data and predictive analytics conversation started: Big data is a collection of data from traditional and digital sources inside and outside your company that represents a source for ongoing discovery and analysis.
Some people will constrain big data to digital inputs like web behavior and social network interactions; however most CMOs and CIOs agree that we can't exclude traditional data derived from product transaction information, financial records and interaction channels, such as the call center and point-of-sale. All of that is big data, too, even though the volume of digital data that's now growing at an exponential rate may dwarf it.
Why should you attend: Terabytes, Petabytes, Exabytes. Who can keep track? These strange terms have just begun to enter the business lexicon, but the hype surrounding them has reached a fever pitch. Big data is important because it will transform how we manage our enterprises. Like any new technology, there is a lot of confusion surrounding big data. There are endless debates about what is and isn't big data.
Senior Fellow and Chief Strategist, Melvin Greer provides clarity around big data and predictive analytics and shows how enterprises are transformed by their use. There is a growing divide between organizations' who use data effectively and those who don't. Big data means much more than a change in technology, it represents a structural transformation is how we will manage our enterprises.
Areas Covered in the Session:
Who Will Benefit: