The Use and Abuse of Big Data
As we begin a new year, we are promised a move from a focus on the meaning and technology of…
What Makes Self-Service Statistical Computing Tools So Important?
Worldwide IT spending will continue to grow in 2013 according to Forrester research and self-service computing and analytics is one…
Team Obama Mastered the Science of Mass Persuasion — and Won
Last October, a colleague and I speculated on how a special, powerful form of predictive analytics would revolutionize presidential campaigning—and,…
The Quantified Self, Part I: Will it Lead to Better Data Management?
Over the next few weeks, I’ll be writing about self-quantification. In today’s post, I’ll introduce the topic and address a…
Using Data Analysis to Avoid 4 Common Causes of Business Failure
Although figures vary, it’s estimated that between half and 75% of businesses are destined to fail within the first three…
OLTP meets OLAP, BI Conferences, Sybase Who? And Other News
The Big NewsThe big news over the last week has been, of course, the release of SAP Business Suite Powered…
The Big Deal is in the 2013 Business Analytics Research Agenda
Did you catch all the big data analogies people used in 2012? There were many, like the refinement of oil…
Seven Drawbacks of Traditional OLAP
In 1993, E.F. Codd, the acknowledged founder of relational databases, introduced the term Online Analytical Processing (OLAP). OLAP is intended…
The Secrets to Big Data and Information Optimization Revealed in 2013 Research Agenda
Managing the access, storage and use of data effectively can provide businesses a competitive advantage. Last year I outlined what…
Three Ways to Get Your Predictive Models Deployed
We all know that given reasonable data, a good predictive modeler can build a model that works well and…
