November 21, 2014
In 2014, there were several important shifts that occurred in the world of big data that business executives around the globe cannot afford to ignore. These shifts are outlined in the new IBM Institute for Business Value study “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace.” This is part one in a multi-part series in easy to consume bites focused on the findings and insights from this study.
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?"
November 5, 2013
A year ago IBM in conjunction with Said Business Schools asked executives across the globe what were their key challenges when implementing big data initiatives. Not surprisingly, the main issues cited included -- difficulty articulating a compelling business case, understanding how to use big da
October 4, 2013
I will be attending InterConnect 2013 in Singapore from 9 to 11 October where big data analytics will be central to discussions.
November 8, 2012
Healthcare organizations are in the eye of an information overload storm. With EHR, EMR and with HIE implementation, there’s tons of data that will be available to payers, care providers and care management companies.
August 21, 2012
Recently, I was in Nice for a three-day gathering of 150 European IBM Big Data specialists. Looking around the room at the opening plenary made me think how fast the world of big data is moving and how quickly our community is growing.
July 30, 2012
Okay, I’ve bitten my tongue for as long as possible, and I need to get this off my chest. Most, and by most I mean at least 85% of the social media big data initiatives I see are ultimately going to under-deliver their expected ROI or eventually be discarded as not useful enough.
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.