Success with Small Bets Tied to a Company’s Past

Many companies face challenges in today’s rapidly changing world. To do well in today’s environment, they need to deal with the situation effectively. And, according to my 25+ years researching business success and failure patterns, small bets tied to a company’s past help pave the way to success.

A recent example is Backstage, the off-price Continue reading “Success with Small Bets Tied to a Company’s Past” »

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Study Shows Preserving Old Ways Motivates People to Change

Not long ago, new academic research came out indicating that people are more motivated to change when leaders communicate how some of the old ways of doing things will continue.

I am intrigued by this because my 25+ years researching business success and failure patterns in companies’ strategic moves found that integrating the new with the old is typically a successful approach. However, my research concentrates on the strategic moves that companies make–that’s why Continue reading “Study Shows Preserving Old Ways Motivates People to Change” »

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The Dark Side of Needing Too Much Learning

Learning is valuable. It helps companies develop the strengths needed for business success.

But, learning takes time. And, if there are too many items to learn, success is deterred until enough is understood to make things work well.

Start-ups that tackle really big challenges can easily have this Continue reading “The Dark Side of Needing Too Much Learning” »

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Fail Fast Versus At the Perfect Pace

Fail fast has been a mantra for quite some time. Especially in industries heavily based in technology or ecommerce, speedily testing various approaches and quickly discarding what doesn’t work is often viewed as the optimal way of doing things.

But, despite fail fast’s popularity, it is not Continue reading “Fail Fast Versus At the Perfect Pace” »

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Example of an Excellent Brief Description of AI (Artificial Intelligence) Challenges

Those of you who have followed my writing for the last several years know that I have long been an advocate of combining human understanding of what the information means with the technical skills of data science. And, we see more and more examples of the value of the human side of Big Data, examples such as facial recognition going terribly wrong, as well as examples in baseball, where successful teams are combining human elements with data science. Thus, as progress is made in applying Big Data, we increasingly see Continue reading “Example of an Excellent Brief Description of AI (Artificial Intelligence) Challenges” »

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