July 11, 2014
A quick social media analytics exercise will prove that high quality analysis requires ongoing attention.
June 13, 2014
Nearly 10 years ago, a little open source software project with a funny name came into being.
May 16, 2014
"Every day we’re able to personalize the consumer’s path to a purchase through mobile, online and in-store networks, including doing real-time scoring of a shopping basket at the supermarket checkout," says Kelly Carrigan, VP of data warehouse and infrastructure at Catalina Marketing, and this week's Big Data and Analytics Hero.
May 1, 2014
According to our research customers come second only to the C-suite in terms of the strategic influence they wield. When asked, “Who has the most influence on your strategic vision and business strategy?” 55 percent of interviewed CEOs cited customers. In our upcoming #CXO Twitter chat we discuss the importance and challenges of aligning organizational strategy with customer experience.
April 8, 2014
This week's Big Data & Analytics Hero, John Naduvathusseril, chief data architect for Nielsen Company, shares how we can flip the equation so that the challenge of big data becomes more of an opportunity for actionable insights.
March 28, 2014
Big data projects often involve exploring new business challenges and using new technology alongside existing applications. But who is doing this work? What skills and personalities are needed?
March 27, 2014
I recently participated in a Twitter chat on big data strategy hosted by @IBMbigdata.
March 4, 2014
#bigdatamgmt chat – Wednesday, March 5 – 12 p.m. EST & 5 p.m. GMT
February 13, 2014
We all know we need to use insight to engage with customers, the question most of us are still grappling with is how? How do we create a strategy for handling big data and is there anything we can learn from the sports teams like England Rugby about how they use analytics to engage their
January 28, 2014
"Don't we already have a data warehouse solution?" "Is big data even relevant to our organization?" "Why do we need it?" "Isn't big data costly and hard to implement?"