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I’m missing my Thursday evening Big Data MBA classes at the University of San Francisco School of Management (though I expect my students are glad that ordeal is over). One of my biggest learnings from this semester was around how to properly construct an actionable and measurable business hypothesis. One of the common mistakes is starting with an overly-simplified business objective such as:. - Improve customer subscription renewals by X%. - Reduce inventory costs by X%. - Improve customer Likelihood to Recommend by X%. - Improve on-time delivery by X%. - Reduce unplanned downtime by X%. The problem with these business objectives is that they don’t fully capture the complexity of the real bu... Full story

6 January