IBM Netezza Blog
February 3, 2012
A number of Teradata customers have moved some or all of their data and analytic applications to IBM Netezza data warehouse appliances. The reasons these customers give for their move invariably include: Time to value Agility and the ability to grow with new workloads Reducing their cost of ongoing maintenance Improving query performance – particularly for complex analytics and ad-hoc environments as data volumes grow.
January 26, 2012
Is 2012 the year of Agile Analytics? Recent publications show growing interest in the application of Agile methods to analytics: Ken Collier, an Agile pioneer, tackles analytics in his aptly named new book Agile Analytics. A quick Google search surfaces a number of recent blogs and articles. Curt Monash recently published an excellent two-part blog on the subject.
January 24, 2012
In talking to customers, analysts and partners at the National Retail Federation “Big Show” last week, it was clear to me that retailers are trying to find the “holy grail” in the cross-channel retailing environment that offers “one view of the customer across all channels.” Power has shifted to consumers as shoppers use multiple devices to price-compare and use the store as a place that offers them convenience, instant access and price efficiency, but not much more. Loyalty seems to be a thing of the past.
January 13, 2012
Still NOT Positioned For Analytics Oracle’s Big Data Appliance, originally announced in October 2011, is now officially for sale and includes the Cloudera distribution of Hadoop. Despite the inclusion of Cloudera, Oracle's position on Hadoop remains fundamentally different than IBM. IBM embraces Hadoop for all use cases, especially as a platform for analytics. Oracle continues to position Hadoop and their Big Data Appliance strictly as a platform to acquire and transform unstructured data to be loaded into Oracle database for analysis.
December 12, 2011
Cutting costs and improving process efficiencies are common paths businesses take to boosting their bottom line. The difficultly of driving top line revenues makes this a road less traveled. IBM Netezza customers are showing the way - use advanced analytics on big data to grow top line revenues. This approach unifies sometimes disparate parts of organizations - IT, sales, marketing, operations, and finance - to net out significant opportunities and revenue lift for their business.
December 8, 2011
Architecting Big Data Solutions Series "Our real secret sauce is to take our analytical skills and capabilities and blend that with our offerings around Big Data technologies to execute more effective marketing for our clients", says Russ Pearlman, CTO of Merkle Inc. We are seeing a growing trend, especially in the Digital Media space, where the most successful and innovative organizations claim that their key to success lies in their unique ability to marry complex analytics with Big Data know-how. For example, Zynga, the hottest social gaming company in today's market, claim that their "secret sauce is that they are really an analytics company masquerading as a games company".
December 8, 2011
The promise of higher online sales on Black Friday, Cyber Monday and throughout the holiday season creates a real incentive for retailers to improve their understanding of consumers. “If I can really narrow down and profile my customers better, I should be able to make them an offer they can’t refuse.”
November 30, 2011
Customers who leverage Netezza through SAS report radical performance gains. Here are just a few examples of how Netezza improves the performance of traditional SAS programs:
November 22, 2011
Thanksgiving is upon us, always a good time for some reflection. I'm particularly grateful for all the talented individuals I've had the honor to work with at Netezza. We've lived through exciting and challenging times together and I've learned something of value from each and every one of you.
November 17, 2011
Big Data, all the cool kids are doing it. But the burning question remains, what do you really need to do to make Big Data a reality in your current architecture? At IBM, we have been thinking a lot about helping our customers advance their analytic capabilities including Big Data. This strategy we refer to as “Smart Consolidation”. So what is it?