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. In part one we introduced four transformative shifts affecting the fast-paced digital marketplace; now in part two we will take a closer look at the
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
"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?"
There is an obvious disconnect between the C-Suite and big data initiatives. Given today’s competitive market it’s hard to
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 data
I will be attending InterConnect 2013 in Singapore from 9 to 11 October where big data analytics will be central to discussions. Earlier this year when Tata Consultancy Services released The Emerging Returns on Big Data – A TCS 2013 Global Trend Study (available with registration), they identified
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. The data latency will be reduced to days and hours–if not minutes–from the weeks
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.
One of the topics that got discussed a lot–in the breaks and in
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. I was reminded of
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.