With IBM Netezza, TEOCO Corporation is able to simplify big data, saving time and resources. Senior Director of Product Management Jonjie Sena explains the importance of analytics and how IBM Netezza has streamlined the process of solving business problems.
To understand some challenges facing the communications industry and how our customers create value by analyzing large volumes of data, I spoke with Raquel Katigbak - an IBM business solutions executive specializing in the industry.
Mike: Raquel, this appears a good time for consumers in the
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of experience optimization, Hadoop, big data crowdsourcing, and DW appliance proofs of concept. And I opened up a fresh topic: big data's optimal deployment role. I also
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I went deeper on the themes of information glut, DW appliance POCs, handheld petabytes, and online recommendation engines. I started up a new thread on crowdsourcing in big data modeling, development,
The planetary economy now spins on an axis of big data. Each of us feels pressure to evolve our skills in order to stay ahead of the big data curve. We do this both to remain employable and to seize new opportunities for professional and personal growth.
In business, every moment is a moment of truth. Every moment can spell the difference between keeping a customer or losing them to a rival that makes them a better offer or delivers a superior experience. And no two moments are ever the same. If you don't seize that tiny window of opportunity, you'
As our populations grow in a world of limited resources governments and individuals seek ways to lighten our load on the planet. In the Smart Grid R&D Program, PNNL investigates how modernizing the electric grid can help the US meet its carbon management goals. In The Smart Grid: An Estimation
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. I started the week in a sentimental mood, then developed my 2020 vision, then tried my best to cram it all in memory, then into the palm of my hand, and then finally crammed far more recommendation
Optimality is the new nirvana. The promise of "next best action" is that, somehow, we can program the optimal automated response into every business scenario. Of course, this dream presupposes that someone in your organization can specify the optimal response for any scenario that your personnel
Here are the quick-hit ponderings that I posted on the IBM Netezza Facebook page this past week. Clearly, I was focused on the "big" side of big data, and on the "statistics" DNA of the analytics that power big data, and on the limits of what you can in fact "optimize" with big data and analytics
If there’s more and more data arriving and time isn’t expandingi, then data must be arriving at greater and greater velocity.
In my last post I talked about Variety in the Volume, Variety, Velocity triumvirate. There’s more to be said about that, but first I’d like to take a run at Velocity. We’ve
This is just a quick introductory note to let you know that I have joined IBM as Senior Program Director, Product Marketing, big data analytics Solutions, within the Netezza team.
My core reason for joining IBM is that it’s a great company with a full portfolio of best-of-breed solutions and
Most Netezza customers use SAS, so it’s natural that customers ask about the best way to integrate SAS and Netezza. This article outlines key best practices to consider when implementing a solution with SAS and Netezza.
A recurring question and point of debate in the realm of analytics is whether there exists any meaningful difference between data mining and statistics. (Text mining or text analytics is not addressed here, although this area of unstructured or semi-structured data analysis has certain