"Measure what is measurable, and make measurable what is not so."   -- Galileo Galilei.      http://en.wikipedia.org/wiki/Galileo_Galilei.

"Measure what is measurable, and make measurable what is not so." -- Galileo Galilei. http://en.wikipedia.org/wiki/Galileo_Galilei.

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)

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)

Douglas W. Hubbard, How to Measure Anything: Finding the Value of Intangibles in Business. Anything can be measured. This bold assertion is the key to solving many problems in business and life in general. The myth that certain things can't be measured is a significant drain on our nation's economy, public welfare, the environment, and even national security. In fact, the chances are good that some part of your life or your professional responsibilities is greatly ...

Douglas W. Hubbard, How to Measure Anything: Finding the Value of Intangibles in Business. Anything can be measured. This bold assertion is the key to solving many problems in business and life in general. The myth that certain things can't be measured is a significant drain on our nation's economy, public welfare, the environment, and even national security. In fact, the chances are good that some part of your life or your professional responsibilities is greatly ...

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....

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....

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.

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 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."

"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."

State of the art, open-source, statistical data mining toolkit.  This collection of concise, task-oriented recipes ranges from basic tasks to input and output, general statistics, graphics, and linear regression.

State of the art, open-source, statistical data mining toolkit. This collection of concise, task-oriented recipes ranges from basic tasks to input and output, general statistics, graphics, and linear regression.

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.

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.

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).

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).

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)

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)


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

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

Making Software: What Really Works, and Why We Believe It by Andy Oram. $22.08. Author: Greg Wilson. 624 pages. Publisher: O'Reilly Media; 1 edition (October 14, 2010)

Making Software: What Really Works, and Why We Believe It by Andy Oram. $22.08. Author: Greg Wilson. 624 pages. Publisher: O'Reilly Media; 1 edition (October 14, 2010)

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.

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.

“As complexity rises, precise statements lose meaning and meaningful statements lose precision”   ― Lotfi A. Zadeh    http://en.wikipedia.org/wiki/Lotfi_A._Zadeh

“As complexity rises, precise statements lose meaning and meaningful statements lose precision” ― Lotfi A. Zadeh http://en.wikipedia.org/wiki/Lotfi_A._Zadeh

Lionel Briand: Software development, being a human-intensive process, involves many interdependent and complex decisions that must be taken in context. How to support such decisions based on data collection and analysis, is an important multidisciplinary field of research often referred to as "software development analytics".       There are a number of challenges that this research community and practitioners must face in developing such decision support. ...

Lionel Briand: Software development, being a human-intensive process, involves many interdependent and complex decisions that must be taken in context. How to support such decisions based on data collection and analysis, is an important multidisciplinary field of research often referred to as "software development analytics". There are a number of challenges that this research community and practitioners must face in developing such decision support. ...

The Writing Center at Empire State College Genesee Valley Center Rochester, NY  THE RESEARCH PAPER HELP

The Writing Center at Empire State College Genesee Valley Center Rochester, NY THE RESEARCH PAPER HELP

homebrew - Google Search

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