This 2013 IBM Institute for Business Value study surveyed 900 businesses and IT executives from 70 countries, asking more than 50 questions. The questions were designed to reveal how to translate high-level concepts associated with delivering exceptional business value through analytics into
In the cloud, crowdsourcing means tapping into all of the expertise that's in the ecosystem. This world's problems are too large for any one person to have all the answers. Likewise, the challenges confronting humanity are growing too complex, dynamic and multifaceted for any one algorithm,
It looks like a lot of industry people are having a lot of serious fun in Las Vegas this week at the annual Consumer Electronics Show (CES). The event has always been a media magnet, showcasing new trends, hot gadgets and seemingly crazy ideas from hopeful innovators.
This year's big CES theme,
Securing everything, everywhere, forevermore is the ultimate pipe dream, and it may not even be feasible. The world is too big, complex and dynamic to hold out that hope for long.
Nevertheless, securing every "thing" is becoming a critical issue as we move into the era of the Internet of Things (
Some companies in the media and entertainment industry are monitoring social media and integrating social data with other data to form elaborate predictive analytics models. Graeme Noseworthy (Twitter: @graemeknows) describes how they are doing this and what they've learned along the way, including
The promise of big data and analytics is revolutionary and exciting. But, to truly make big data a big deal requires confidence in your data. Learn how two teams tried to use analytics to fund a an enterprise project with dramatically different results. Discover how one went wrong and how the other
The concern about consumer data privacy has never been higher. For example, 86% of Americans are concerned with data collection from Internet browsing and how it is used, and 70% of Europeans are concerned about the reuse of their personal data. With data breaches and issues such as the NSA’s
I’ve encountered many customers who are keen to ditch their data warehouse and use Hadoop to store the organization’s data as a cost-saving measure and to provide more flexibility to the business. However, an oft-overlooked consequence of eliminating the data warehouse is that analysts are now
Security concerns have never been more top of mind for business leaders, consumers and governments. The proliferation of the digital age impacts all aspects of life and is radically changing the way we think about security, in both the cyber and the physical world.
The traditional approach to security is to build and stand on a wall protecting the most valuable enterprise assets. In a big data world, however, threats are rapidly multiiplying, originating across enterprise walls and taking new forms - making them harder to identify and defend against.
This is Part 1 in a 14 part series that is my attempt to present, in small easily consumable bites, findings and text from IBM Institute for Business Value’s latest study and paper - “Analytics: A blueprint for value - Converting big data and analytics insights into results”.
In the paper, my
This week, IBM’s Institute for Business Value (IBV) released its 2013 Study entitled “Analytics: A blueprint for value.”Stylized as an Executive Report, it is really a manifesto on the challenges that face every analytics-driven organization in their quest for success (and tangible value). The
Big data means more data – from more sources, in more formats. It also involves data that is created at a more rapid pace. All of those factors make it harder to establish context. Where did this data come from? How much do you trust it? What steps were taken to correct, or massage, the data?