W. Edwards Deming: "The most important things cannot be measured... The most important things are unknown or unknowable." (at General Motors Technical Center in Warren, Michigan, October, 1991)

Edwards Deming - Wikipedia, the free encyclopedia.innovator of statistical process control for optimal outcomes.

Davenport et al., Analytics at Work: Smarter Decisions, Better Results. Most companies have massive amounts of data at their disposal, yet fail to utilize it in any meaningful way. But a powerful new business tool - analytics - is enabling many firms to aggressively leverage their data in key business decisions and processes, with impressive results....

Analytics at Work: Smarter Decisions, Better Results Authors: Thomas H. Davenport, Jeanne G. Harris, and Robert Morison Publication Date: Description: This is your 'How-to' guide for putting to work and developing an analytic capability in

Explains why anything perceived to be “immeasurable”, but important, can be still measured in a practical way. Readers will learn how any problem, no matter how difficult, ill-defined, or uncertain can be solved with proven measurement methods. Numerous cases and examples ranging from quality, security, customer satisfaction, the environment, risk and many more make this text applicable to virtually any manager who has to make decisions under uncertainty.

This looks like a good read for community measurement. given all of the intangibles.

"This article covers technical details on how to effectively analyze data from a platform perspective. It is so-called “big data.” The big data technology allows storing a large amount of data, searching meaningful data for visualization, enabling predictive analysis, thereby, internalizing business process for application."

database management systems and software development

Weka 3: Data Mining Software in Java    Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.

Machine Learning Project at the University of Waikato in New Zealand

There is a clear growing interest in the decision processes and data mining. For example, here's a new Springer Journal (that is all open content).

Decision Analytics - a SpringerOpen journal

Revolutions. News about R, statistics, big data analytics, data science, and the world of open source from the staff of Revolution Analytics. (from Revolution Analytics, http://www.revolutionanalytics.com)

Learn about using open source R for big data analysis, predictive modeling, data science

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