Author Archives: Phyllis Ezop

More Support for the Shift toward the Softer Side of Big Data

Human intervention needs to be integrated with data analytics. As I’ve written before, the technical skills of a data scientist are not enough. So it’s interesting to see how the data analytics article in the latest issue of Harvard Business … Continue reading

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Commonly Misunderstood Disruptive Threats Now Clarified

Disruptive innovation can be a serious threat in today’s era of rapid change. Yet, it’s easy to overreact when potential disruption looms. I’ve blogged previously about the danger of panicked responses to potential disruption, a post I wrote in late … Continue reading

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A Lesson about Admiring and Imitating the Competition

Not long ago, the Chipotle restaurant chain was highly lauded in the media. As McDonald’s struggled and replaced its CEO, Chipotle was heralded as a chain McDonald’s needed to be more like. But, now the tide has turned. Instead of … Continue reading

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Finally, Less Hype, More Reality about Pros and Cons of Big Data

Big Data has been highly hyped. Big Data was touted as an all knowing source, where N=all. This would mean that the number of pieces of information we have is so huge, that there is enough data to know just … Continue reading

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Warning: Big Data Can Be Biased, and even “Troublingly Wrong”—Just Like Data Years Ago

As valuable as Big Data can be, Big Data still has the potential to mislead, as I said in previous writing. Recognizing potential problems may help users apply Big Data more effectively, since awareness of a problem can be a … Continue reading

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