Tag Archives: Data

Google’s Innovative Use of Economics

Secret of Googlenomics: Data-Fueled Recipe Brews Profitability Google depends on economic principles to hone what has become the search engine of choice for more than 60 percent of all Internet surfers, and the company uses auction theory to grease the skids of its own operations. All these calculations require an army of math geeks, algorithms of Ramanujanian complexity, and a sales force more comfortable with whiteboard markers than fairway irons. … Varian tried to understand the process better by applying … Continue reading →

Posted in Creativity, Data, Economics, Google | Tagged , ,

Revealed Preference

Revealed Preference: the preference consumers display by their action, in contrast to what they may say they prefer. While surveys may be useful people often say they will do one thing and actually when given the choice to do so, don’t. Normally what matters is not what people say they want but what they actually will choose. For that reason revealed preference is a better measure than stated preference. Stated preference is often used as a proxy for actual preference … Continue reading →

Posted in Data, Deming, Management, Psychology, Statistics | Tagged , , , | 1 Comment

Red Bead Experiment Webcast

Dr. Deming used the red bead experiment to present a view into management practices and his management philosophy. The experiment provides insight into all four aspects of Dr. Deming’s management system: understanding variation, understanding psychology, systems thinking and the theory of knowledge. Red Bead Experiment by Steve Prevette Various techniques are used to ensure a quality (no red bead) product. There are quality control inspectors, feedback to the workers, merit pay for superior performance, performance appraisals, procedure compliance, posters and … Continue reading →

Posted in Data, Deming, Education, Management, Performance Appraisal, Psychology, quote, Respect, webcast | Tagged , , , , , , , , , , , | 3 Comments

How to Create a Control Chart for Seasonal or Trending Data

Lynda Finn, President of Statistical Insight, has written an article on how to create a control chart for seasonal or trending data (where there is an underlying structural variation in the data). Essentially you need to account for the structural variation to create the control limits for the control chart. She also provides a Minitab project file. Both are available for download from the Curious Cat Management Improvement Library. Related: Control Charts in Health Care – Common Cause Variation – … Continue reading →

Posted in Data, Deming, Management, Process improvement, Quality tools, Science, Statistics | Tagged , , , , , , | 3 Comments

Harvard’s Masters of the Apocalypse

This article makes some good points, even if it is a bit sensationalist, and intentionally so: Harvard’s masters of the apocalypse by Philip Delves Broughton Business schools have shown a remarkable ability to miss the economic catastrophes unfolding before their eyes. In the late 1990s, their faculties rushed to write paeans to Enron, the firm of the future, the new economic paradigm. The admiration was mutual: Enron was stuffed with Harvard Business School alumni, from Jeff Skilling, the chief executive, … Continue reading →

Posted in Management | Tagged , , | 2 Comments

Friday Fun: Correlation

From the excellent xkcd comic. Related: Correlation is Not Causation – Does the Data Deluge Make the Scientific Method Obsolete? – Understanding Data – Theory of Knowledge – What Makes Scientists Different 🙂 – Dangers of Forgetting the Proxy Nature of Data – Seeing Patterns Where None Exists

Posted in Data, Fun, Science, Statistics | Tagged , ,

Statistics for Experimenters in Spanish

Statistics for Experimenters, second edition, by George E. P. Box, J. Stuart Hunter and William G. Hunter (my father) is now available in Spanish. Read a bit more can find a bit more on the Spanish edition, in Spanish. Estadística para Investigadores Diseño, innovación y descubrimiento Segunda edición. Statistics for Experimenters – Second Edition: Catalyzing innovation, problem solving, and discovery, the Second Edition provides experimenters with the scientific and statistical tools needed to maximize the knowledge gained from research data, … Continue reading →

Posted in Books, Data, Design of Experiments, Statistics | Tagged , , , , , , , , ,

What’s the Value of a Big Bonus?

What’s the Value of a Big Bonus? by Dan Ariely To look at this question, three colleagues and I conducted an experiment. We presented 87 participants with an array of tasks that demanded attention, memory, concentration and creativity. We asked them, for instance, to fit pieces of metal puzzle into a plastic frame, to play a memory game that required them to reproduce a string of numbers and to throw tennis balls at a target. We promised them payment if … Continue reading →

Posted in Data, Deming, Management, Psychology, Respect, Systems thinking | Tagged , , , , ,

Easiest Countries for Doing Business 2008

Singapore is again ranked first for Ease of Doing Business by the World Bank. For some reason they call the report issued in any given year as the report for the next year (which makes no sense to me). The data shown below is for the year they released the report. Country 2008 2007 2006 2005 Singapore 1 1 1 2 New Zealand 2 2 2 1 United States 3 3 3 3 Hong Kong 4 4 5 6 Denmark … Continue reading →

Posted in Competition, Economics, Management | Tagged , , , , , ,

Does the Data Deluge Make the Scientific Method Obsolete?

The End of Theory: The Data Deluge Makes the Scientific Method Obsolete by Chris Anderson “All models are wrong, but some are useful.” So proclaimed statistician George Box 30 years ago, and he was right. But what choice did we have? Only models, from cosmological equations to theories of human behavior, seemed to be able to consistently, if imperfectly, explain the world around us. Until now. Today companies like Google, which have grown up in an era of massively abundant … Continue reading →

Posted in Creativity, Data, Innovation, Science | Tagged , , , , , , , , | 7 Comments

Management Blog Posts From September 2005

Here are some posts from the blog 3 years ago, this month. I took the photo on my visit to North Cascades National Park. Measurement and Data Collection – I have found it helpful to ask: what will you do if the data we collect is 30? What will you do if it is 3?… I find, that asking that question often helps reach a better understanding of what data is actually needed, so you then collect better data. Operational … Continue reading →

Posted in Management | Tagged , ,

Hiring the Right Person

Malcolm Gladwell presented at the New Yorker conference on the Challenge of Hiring in the Modern World. As usually, he provides some great thoughts. I wrote on Hiring the Right Workers The job market is an inefficient market. There are many reasons for this including relying on specification (this job requires a BS in Computer Science – no Bill Gates you don’t meet the spec) instead of understanding the system. Insisting on managing by the numbers even when the most … Continue reading →

Posted in Data, Fun, Management, webcast | Tagged , , , , | 1 Comment

Outcome and In-Process Measures

An outcome measure is used to measure the success of a system. For example, the outcome measure could be the percentage of people who do not get polio (the result). An output measure, for example, would be the number of people vaccinated with the polio vaccine (the output). Often we measure inputs (amount of money spent) or outputs (number of people vaccinated). They are usually easy to measure but obviously less valuable proxies for what the objective of the system … Continue reading →

Posted in Data, Deming, Management, Process improvement, quote | Tagged , , | 2 Comments

Post Number 1,000

This is the 1,000th post to the Curious Cat Management Improvement Blog. Here are some highlights: Post number 2: Dangers of Forgetting the Proxy Nature of Data – “We use data to act as a proxy for some results of the system. Often people forget that the desired end result is not for the number to be improved but for the situation to be improved.” Most viewed post: Eliminate Slogans – management by slogan is not an effective management strategy … Continue reading →

Posted in curiouscat.com, Deming, Health care, Management, Manufacturing | Tagged , , , , , | 2 Comments

Making a Difference

Kiva provides loans through partners (operating in the countries) to the entrepreneurs. Those partners do charge the entrepreneurs interest (to fund the operations of the lending partner). Kiva pays the principle back to you but does not pay interest. And if the entrepreneur defaults then you do not get your capital paid back (in other words you lose the money you loaned). They do an excellent job of using the internet to allow people like me to feel connected to … Continue reading →

Posted in Economics, Fun, Respect | Tagged , , | 5 Comments

Stratification and Systemic Thinking

I am reading a fascinating book by Jessica Snyder Sachs: Good Germs, Bad Germs. From page 108: At New York Hospital, Eichenwald and infectious disease specialist Henry Shinefield conceived and developed a controversial program that entailed deliberately inoculating a newborn’s nostrils and umbilical stump with a comparatively harmless strain of staph before 80/81 could move in. Shinefield had found the protective strain – dubbed 502A – in the nostrils of a New York Hospital baby nurse. Like a benign Typhoid … Continue reading →

Posted in Creativity, Data, Deming, Health care, Innovation, Management, Quality tools, Science, Statistics, Systems thinking | Tagged , , , , , , | 2 Comments