The mobile market is continually growing with “mobile-based payments in the United States expected to reach $142 billion in volume in 2019.” With mobile comes mobile data and the grave need for security. Vijay Dheap, global product manager for IBM MobileFirst, declares that “mobile security
Thomas Baumann, IT performance architect at Swiss Mobiliar and this week’s IBM Big Data and Analytics Hero, shares that once “once response times of analytical reports were improved by a factor of 100 or more, business departments were very interested to apply big data”
Businesses today must sell confidence:confidence in their company, confidence in their product and, more importantly, confidence that they are protecting customer data. Thomas Bauman, an IT performance architect for Swiss Mobiliar, declares that "secure data is as important as customers who feel
The promise of big data and analytics is revolutionary and exciting. But, to truly make big data a big deal requires confidence in your data. Learn how two teams tried to use analytics to fund a an enterprise project with dramatically different results. Discover how one went wrong and how the other
Big data means more data – from more sources, in more formats. It also involves data that is created at a more rapid pace. All of those factors make it harder to establish context. Where did this data come from? How much do you trust it? What steps were taken to correct, or massage, the data?
Big data is about much more than scaling, accelerating and broadening your analytic applications. Without trustworthy data to fuel it all, you can’t have much confidence in the hidden patterns that big data reveals, the decisions it drives, or the outcomes that you may or may not achieve from it
Confidence in big data is highly variable. Some data sources have inherent uncertainty. So why shouldn’t you spend as much time as needed to make big data perfect? Time. You simply don’t have enough time to sort out every data irregularity, every ambiguity, every incomplete attribute. And for many