In part seven of this series, we looked at the second key stage within the analytics lifecycle (Analyze), which focuses on analyzing the data and identifying the insights most likely to create a positive business impact. In part eight we will examine recommendations and practical actions for the
It’s that time of the year again: when fans begin lining up at the supermarkets to plan football weekend festivities. Let's take a look at how can predictive analytics be used in analyzing everything from performance to parking at the big event.
Analytics can deliver significant benefits, and a significant competitive advantage, if used together with a clear vision and an aligned business strategy. As markets evolve and customer behavior changes, the analytical models and the way analytics is being used needs to adapt and change.
IBM recognizes that there is a convergence of cloud technologies, new design paradigms and advances in analytics. Enhancements to IBM business intelligence, predictive analytics, performance management and risk analytics products will mean that data-driven decisions can now be an essential daily
I've spent more years than I want to admit on the business side of the insurance industry. In my current role I work on the value that big data and analytics can deliver to an insurer and, in turn, to their policyholders.
On the other side of things, I own insurance policies, just like most.
Big data has been the heart of predictive and real-time weather analytics from the start. Throughout all eras, meteorological models have greedily devoured every high-performance computing resource thrown their way. Leveraging these resources, fine-grained local weather forecasting may not be as