In this blog, we will cover how to select, staff and plan your first big data project. Our recommendations are based on many years of experience that we have had working with a wide variety of customers in several industries. We won’t focus on specific technologies. Instead, we will examine the
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
James Kobielus recaps the July 24 big data tweetchat, sharing insights from Pacific Northwest National Laboratory, Trident Marketing, TDWI and others. Find out how they started their big data initiatives, their results to date and advice for others.
One of the myths I deflated a few blogs ago was this prevailing notion that, as I expressed then, "data scientists are just an elite bunch of precious eggheads."
Well, maybe I was slightly exaggerating the myth for comic effect, but that statement, in spirit, sums up how traditional business
Utility companies are facing a step change in the industry from many factors at once: social and political pressures on generation, increasing data volumes from smart grid and advanced meter infrastructure (AMI) technologies and sweeping regulatory changes amongst. Evolving technology in the
According to TDWI survey data, a new flood of user organizations is currently commencing or expanding solutions for analytics with big data. The purpose of this report is to accelerate users’ understanding of the many new tools and techniques that have emerged for analytics with big data in recent
Nucelus Research found that organizations can earn an incremental ROI of 241 percent by using Big Data capabilities to examine large and complex data sets. One driver of high returns on Big Data was the ability to improve business processes and decisions by increasing the types of data that can be
To understand some challenges facing the communications industry and how our customers create value by analyzing large volumes of data, I spoke with Raquel Katigbak - an IBM business solutions executive specializing in the industry.
Mike: Raquel, this appears a good time for consumers in the
James Kobielus recaps his recent Facebook Quick Hits, on RAM as a dumping ground, big data's optimal deployment model, frictionless sandboxes, sexy statistics and big data "scores," and advanced visualization.