Anymore, we’ve come to take for granted the lifecycle of business data. One system captures the particulars of a sales order, a trouble ticket or countless other information that business professionals need to do their job – only to have to wait while separate analytics systems on separate platforms make sense of the data. It’s just how it’s worked for as long as anyone can remember. A recent survey by IDC, in fact, found that over 40% of IT advisers required more than two days to prepare financial data for reporting. Amazingly, the same survey found that “the majority of business users found the slow and fragmented nature of their data systems to be perfectly OK.”Read more at http://www.business2community.com/big-data/great-data-so-how-long-before-we-learn-something-from-it-0514131
Data aging is an issue that we see quite frequently inside of our business communities. When you’re capturing data from your Professional Community system, how quickly are you able to analyze and act on that data? Do you have a process in place for reviewing and learning from your data? It is your data after all, and that’s why you have your own Community system in place instead of using public platforms. Too often, the analysis comes back from the data team a week or two after being pulled, and your insights are longer actionable, or if they are actionable, their potency is dramatically reduced. Read more about it in this article on Big Data by Amanda Reinhart, published on Business2Community.com. The article leans heavily on information pulled from SAP HANA. Enjoy!