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A new Performance Analytics and Decision Support Framework, linking advanced performance management and big data analytics technologies, will emerge in 2014. The PADS framework enables enterprises and service providers to gain deep and real-time visibility into, and predictive intelligence from, increasingly complex IT systems across the entire application delivery chain.
PADS establishes best practices for assuring user experience, reducing risk and improving operational decision…Continue
Added by Gabriel Lowy on February 26, 2014 at 2:12pm — No Comments
Big data is most often defined by volume, velocity and variety. But it is veracity, validity and value that are big data’s real 3Vs. For it’s the information we glean from data that yields better decisions.
The big risk in the big data hype is that we don’t focus on the value – and quality – of the data we are storing and analyzing. We will expend a lot of cost and energy to generate a low return on all of that data because the models and algorithms they drive will serve no more…Continue
Added by Gabriel Lowy on February 20, 2014 at 3:41pm — No Comments
In the current context of fierce competition, in order to maintain their position, large companies must use a variety of means: service commitments, multichannel approach, extensive monitoring of the supply chain until the last kilometer, digital communication, shop connection, website, call center, customer loyalty program, community animation, products and prices personalization, etc.. But above all they must continually put the customer at the heart of their strategy, and make it as…
Added by Michel Bruley on February 18, 2014 at 12:29am — No Comments
Big data is not expensive. You can process 10 terabytes of data per year on collocated servers using open source tools (Python - I do it in Perl), using your own home-made Hadoop system if needed, to score 100 billion transactions, all for less than $1,000 per year. It requires a bit of…Continue
Added by Vincent Granville on February 15, 2014 at 10:42am — No Comments
Go ahead, be skeptical about big data. The author was—at first.
When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his…
Added by Vincent Granville on February 6, 2014 at 10:00am — No Comments