There are plenty of examples of how big data tools deliver rotten results--not due to a fault in the tool, but rather a shortcoming in the strategy, algorithm and/or data sets behind its use.
Hospitals are beginning to assign risk scores that predict how your personal spending habits will affect your health--and their profits--by mining credit card purchases and loyalty program transactions.
IBM Research just announced it launched a broad 10-year initiative to "support China in delivering on its ambitious energy and environmental goals." Dubbed "Green Horizon" one of its first partners is the Beijing Municipal Government.
There's more to big data than just high availability of technology and data scientists.
The bottom line from a business perspective is that U.S. banks are impeding growth for many companies by over-culling the pool of potential buyers and users.
True&Co is using big data to offer customers the perfect fit while beefing up its revenue.
Human intuition and big data analytics can--and should--work hand-in-hand to help guide decisions.
When it comes to data, there is no one formula for the perfect visualization. Fortunately, there are techniques and tactics that enterprises in general and analysts in particular can deploy to provide clear, actionable, at-a-glance information to their key decision makers. This Special Report will show you what some of those techniques and tactics are but more importantly it will also reveal the mechanics behind them.
It may be messy and it may require your CEO to wear the brown pants for much of the trip, but reinvention is necessary if it is true competitive advantage that you seek.
Below is a synopsis of some recent vendor announcements. I present them this way so you can see what's new in a glance. Not every recent product announcement is here of course, but these caught my eye as differentiating, interesting in some way or indicative of general movement in that product category.