Hubbard Decision Research provides training, consulting, and tools for the most difficult measurement, forecasting, and investment decisions facing organizations today.
For over 19 years, our vetted Applied Information Economics methodology has been applied across a diverse range of fields and industries, all over the world.
Applied Information Economics has been used to clarify a variety of difficult and risky decisions over the years in fields as wide ranging as insurance, mining, medical devices, military logistics, and many more. No matter how difficult your challenge in decision analysis, risk assessment, data gathering, and complex forecasting, Hubbard Decision Research can solve it!
Over 60,000 copies of How to Measure Anything have been sold since the first edition was released. Now, the 3rd edition of How to Measure Anything is available! It contains over 80 new pages of tools and insights as well as interesting new real-world examples of how these methods have solved seemingly intractable problems. ... Read More.
Dreams of Spring Ah…it has come to that time of year when we are all dreaming of being outside without a jacket. Some subset of those dreamers are also thinking about their gardens, getting their fingers in the soil, and watching the miracle of life push its way up out of the soil. Some of[…] ... Read More.
Given the current pricing of wolf hunting licenses in Wisconsin, it is unlikely that revenue from the wolf licenses offset the negative effects wolves have from killing deer, livestock, and dogs. However, there are two caveats to this statement: first, to make this assessment definitive depends on accurately estimating the worth of the life of[…] ... Read More.
“Google searches, Twitter feeds, and even Amazon sales ranks produce a lot of data—data that can be used to identify trends in real time and help business leaders get ahead. ‘There’s a revolution in data about society,’ says Douglas Hubbard, author of Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities (Wiley, 2011). ... Read More.