IBM – Analytics: The real-world use of big data

IBM – Analytics: The real-world use of big data. Nice report from IBM in cooperation with Oxford University on how innovative enterprises extract value from uncertain data. Introduces 4th dimension of big data : next to Volume (data at scale), Variety (data types and sources) and Velocity (data in motion), also Veracity (data uncertainty) is introduced. Surveys big data efforts, business drivers, infrastructure, sources and adoption stages.

BT launched Assure Analytics | SecurityWeek.Com

BT Addresses Big Data and Security Challenges With New Visualization Service | SecurityWeek.Com
BT launched Assure Analytics – a ground-breaking new security data analysis service which helps organisations collect, arrange and evaluate big data sets, presenting them in visually insightful ways which can improve decision-making. It enables businesses to make informed, split-second decisions and develop effective long-term policies to govern their use of resources and response to potential risks and security threats across their infrastructure and operations.

Big data: The next frontier for innovation, competition, and productivity | McKinsey Global Institute

Big data: The next frontier for innovation, competition, and productivity | McKinsey Global Institute | Technology & Innovation | McKinsey & Company.

Download the full report on “big data” from McKinsey Global Institute, May 2011, by James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, Angela Hung Byers.

A Prototype Knowledge-Sharing Service for Clinical Decision Support Artifacts | RAND

A Prototype Knowledge-Sharing Service for Clinical Decision Support Artifacts | RAND. This report, by researchers from Partners HealthCare and the RAND Corporation, primarily describes the work associated with Task 4.8 of the Advancing Clinical Decision Support (ACDS) effort, a project intended to accelerate the effective use of computer-based clinical decision support (CDS) interventions to facilitate evidence-based clinical practice and the meaningful use of health information technology.

Making the Case for Using Predictive Analytics in Healthcare « « hCentive Blog hCentive Blog

Making the Case for Using Predictive Analytics in Healthcare « « hCentive Blog hCentive Blog. Careful collection and analysis of consumers’ online behavioral patterns can help businesses develop predictive models that can help in identification of past, current and future consumer and market trends. The results from predictive models can help businesses specifically tailor product advertisements and online campaigns. So, instead of just responding to consumer trends, businesses can anticipate future trends and market their offerings effectively to generate maximum positive responses. Published by hCentive on 14 May in Healthcare Reforms, Healthcare Technology Blog.

Visualizing Criminal Networks to Help Police Solve Crime – Core77

Visualizing Criminal Networks to Help Police Solve Crime – Core77. Law enforcement is an extremely complex line of work, as police officers have to keep up-to-date with events and people in the community, but usually from the sidelines or through second-hand information. Tools that can augment police officers’ mental models of the communities they serve, especially in an ever increasing information-rich world, are critical to the future of policing. And that’s where graph theory comes in.

Emphasis on Support in Decision Support

Emphasis on Support in Decision Support. Greg Freeman for HealthLeaders Media, May 14, 2012. Computer-based clinical decision-support systems offer great opportunities to improve care and reduce costs, but healthcare leaders have to remember who’s ultimately in charge: the human operating the computer. Implementing even the best technology for decision support can become a costly, frustrating failure that ultimately degrades patient care if you don’t factor in the human element.