01. Jeff Veis, HPE, visits #theCUBE!. (00:19) 02. The HP Split and the Four Fundamental Areas. (00:45) 03. Data Driven Business and the New HPE Focus. (02:15) 04. HPE Software Products Overview. (04:14) 05. Vertica on-Demand and IDOL Technology. (08:58) 06. Haven-on-Demand API Library and SAAS. (11:42) 07. Basic and Advanced Searches. (14:06) 08. Operationalizing Analytics. (14:50) 09. Performance of the New Team. (18:19) 10. Business Value is Key. (19:40) 11. Money Spent on Services. (20:29) 12. The Bumper Sticker for HPE Discover London. (23:47) Track List created with http://www.vinjavideo.com. --- --- Acting on data at ‘the speed of business': HPE helps companies operationalize analytics | #HPEDiscover by Tim Hawkins | Dec 3, 2015 Newly formed Hewlett Packard Enterprise Co. (HPE) is just getting started after splitting from Hewlett Packard only a few months ago. And to talk about the company’s direction and new product offerings, Jeff Veis, VP of marketing, Big Data platforms for HPE Software, sat down with John Furrier and Dave Vellante, cohosts of theCUBE, from the SiliconANGLE Media team, during HPE Discover 2015 in London. Big changes HPE was slit off to focus on the Big Data side of the business. “The last time we talked a few months ago, this was just a plan, and plans don’t always work out,” Veis said. “So it’s pretty immense that a company fundamentally split. It’s about being able to focus … the business so we can be far more agile and far more focused.” Software products Even though HPE is a newly formed company, that does not mean it does not already have product offerings. Quite the contrary. “We have two franchises: We have the Vertica franchise and then the IDOL enterprise franchise,” Veis explained. Vertica is about blazing speed with traditional sequel analytics. HPE offers five “flavors” of Vertica with varying cloud and analytic options. “You can have it any way you want it,” said Veis. IDOL is focused on unstructured information: text, audio, video, text in video and the ability to extract true information from it. “What you’re seeing now that we’re able to do is look far deeper at the patterns that are being discussed and make those connections across it,” said Veis. Operationalizing analytics Modern companies are no longer interested in using analytics for reports that take weeks or months to utilize. They want data that can be used at the speed of business. “Organizations don’t want to hear about six-month or six-week deployments,” said Veis. “They want to be able to have that data come in, and really at the speed of business have the people that can act on it utilize it.” @theCUBE #HPEDiscover