This podcast features Doug Thompson, executive architect, Information Governance and master data management (MDM), at IBM, who discusses the various factors that make data integration challenging and how one can overcome them. Thompson also shares his views on hybrid- and cloud-based data
Data scientists and others often encapsulate big data by its dimensions known as the four Vs: volume, variety, velocity and veracity. But when considering big data as a source for insight to enhance decision making, it may be best characterized by its three Cs—confidence, context and choice—with
In part five of this series we explored Acquire, the first of three key stages within the analytics lifecycle, which provides the ability to acquire and integrate data quickly—foundational to creating an analytics speed advantage. In part six we will look at recommendations and practical actions
In part four of this series we introduced three key stages within the analytics lifecycle to outline how leading organizations are outpacing the competition. In this post, part five, we will explore the first of those stages (Acquire) which provides the ability to acquire and integrate data quickly
This is part four in a series presenting, in small easily consumable bites, findings and insights from the IBM Institute for Business Value’s latest study and paper - “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace." In part three we
Let's explore in more detail the final two shifts highlighted in the new IBM Analytics study, “Analytics: The speed advantage - Why data-driven organizations are winning the race in today’s marketplace," including the transformation of business processes with digital capabilities.
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
A majority of organizations today claim they have a competitive advantage because they are using big data and analytics. But, if everyone is claiming that, who really has the competitive advantage? The ones that do more predictive analytics? The ones that can do it cheaper? My bet is that it’s the
If most organizations are using analytics to improve customer interactions, optimize supply chains and reduce financial risk then where does the advantage in today's marketplace come from? The IBV 2014 Analytics study will explore how organizations are creating a competitive advantage in today's
Big data is driving massive changes in healthcare. Hear from Hear from Founder and Director of Emory Center for Clinical Care Dr. Tim Buckman and Executive VP and CFO of the largest health care delivery system in the George, Matt Muhart. Both deliver better safer care at lower costs with big data
In the big data scheme of things, you can talk about the "3 Vs," the "4 Vs," or as many "Vs" as your fevered imagination can spin out. The "3 Vs" point to the "big" dimension of the big data phenomenon, but when you shift the focus from "big" data to "all" data, the fourth V becomes a cleaner fit.
In my first post I introduced the idea that most “big data” isn’t really big at all, and doesn’t conform to Gartner’s 3V’s. Instead, I've suggested that there’s benefit in focussing on “broad data”, or the use of many different sources of data to give us richer information. We put forward 4O’s of
“Big data” is an area of intense interest in the IT change field right now. CIO’s are being told that this is something they need to address, and lots of big data solutions are being bought and sold. Cynics may feel that there is a lot of hype around big data, but many people clearly believe