The Premier Business Leadership Series in Orlando was the backdrop for a number of news announcements from SAS. Here's a rundown: 1. Big Data research A new survey has found that organizations with formal data management strategies derive more value from data assets and outperform competitors. The survey, Big Data:
Tag: high-performance analytics
When you can get three succesful corporate leaders on stage to talk at a technology conference, what do you ask them about? Corporate culture, the economy and business leadership, sure - but most importantly, you talk about technology. Specifically, what technologies should businesses be taking advantage of today? Mobile, social
Starting in 2007, according to IDC, the amount of data captured and replicated worldwide outgrew our total available storage capacity. Total data captured that year equaled 281 exabytes and storage capacity equaled 264 exabytes. These numbers - and that gap - have been growing exponentially ever since. And that's just one
I jotted down the following fact from a session yesterday at the Disney Analytics & Optimization Summit: Organizations that invest in analytics perform better in the market. That's quite an assertion. Tweetable for sure. But it was a late-afternoon presentation and I was hungry for supper. So I forgot about
The promise of high-performance analytics, as I understand it, is this: Regardless of how you store your data or how much of it there is, complex analytical procedures can still access that data, conduct a series of calculations on that data and provide answers quickly, accurately and using the full
Rome was not built in a day. Similarly, high-performance analytics is a product of many cumulative architectural, computational and analytical advances. The ability to solve complex business problems by applying algorithms from multiple disciplines to increasingly large volumes of data of all types - both structured and unstructured - is
The basic big data problem is simple to understand: we create too much data to store and analyze it all. The problem gets bigger, however, when you consider the related factors: our problems themselves are getting bigger, the analytics needed to solve them are more complex and the data is