Winning the Megadeal
Why Occulus Works and is so Accurate
Why Occulus Works and is so Accurate
A recent study by McKinsey & Company (Landing the Mega-Deal) stated that the number one (1) item you need if you hope to win large, important deals is ‘deal analytics/forensics’ that captures specific information about the deal, such as, how conditions are changing with the deal and how those changes will impact the desired outcome (your chances of winning it and of it closing by the forecasted close date.)
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Why Occulus Works and is so Accurate
Why Occulus Works and is so Accurate
Why Occulus Works and is so Accurate
This article explains, by example, the differences between Conditional Probability and Statistical Probability and why Conditional Probability is the only effective analytic method to analyze complex deals. It also explains how we naturally use Conditional Probability in our everyday life without realizing it.
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Conditional Probability
Why Occulus Works and is so Accurate
Conditional Probability
An excellent & timely example of why statistics doesn’t work in all situations was recently published in the New York Times and concerns something that we’re all concerned about these days, the COVID-19 pandemic. The epidemiologists who track and model these pandemics found that their statistical based models weren’t providing accurate predictions because COVID-19 was new and there were ever changing conditions, so they switched to a Bayesian Inference model (based on Conditional Probabilities) and obtained got much more accurate results.
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