The fusing of analytics with leading technologies can unlock significant business value and bring new transformation opportunities for enterprise companies. In order to be successful, analytics-based initiatives such as AI and the Internet of Things (IoT) need massive amounts of big data—and also
In part one of the Capitalogix data science story, I focused on their strategic need for a data platform that supports speed, data variety and custom-built algorithms to find advantages for their business. A key success driver: they worked to make life better for the people on the front lines of
While the proliferation of data will be readily apparent, deciding what to do in response will be less straightforward. The majority of workloads currently sit in traditional, on-premises environments but we’ll see many of them move to private and public clouds over the next over the next five
UK organizations continue to exploit information to acquire more customers and offer them an improved experience; however, they risk being outpaced by acceleration in delivering insight ready for action in other parts of the world.
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors.
This theme comes through loud and clear in the latest analytics study from IBM’s Institute for Business Value. Nonetheless, only 10 percent of organizations fit into the
A majority of organizations today claim they have a competitive advantage because they are using big data and analytics. But, if everyone is claiming that, who really has the competitive advantage? The ones that do more predictive analytics? The ones that can do it cheaper? My bet is that it’s the
To provide customers with an innovative and convenient shopping experience, Bon- Ton Stores, Inc. needed to understand what customers were thinking and feeling. IBM PureData System for Analytics powers business decisions from merchandising to marketing promotion optimization with speed and
In the big data scheme of things, you can talk about the "3 Vs," the "4 Vs," or as many "Vs" as your fevered imagination can spin out. The "3 Vs" point to the "big" dimension of the big data phenomenon, but when you shift the focus from "big" data to "all" data, the fourth V becomes a cleaner fit.