Data science and decision science

Data science, as Deepinder Dhingra recently blogged, “is essentially an intersection of math and technology skills.” Individuals with these skills have been labeled data scientists and organizations are competing to hire them. “But what organizations need,” Dhingra explained, “are individuals who, in addition to math and technology, can bring in […]

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The data that supported the decision

Data-driven journalism has driven some of my recent posts. I blogged about turning anecdote into data and how being data-driven means being question-driven. The latter noted the similarity between interviewing people and interviewing data. In this post I want to examine interviewing people about data, especially the data used by people to drive […]

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O say can you see by the data’s insight?

I have previously compared data visualizations to the magic mirrors of business intended to reflect what you need to see, such as true business insights, but which, because of how our eyes process data, may just be reflecting back your own image of what you want your data to show […]

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This isn’t Jeopardy

Imagine a political debate between two candidates where one candidate answers every question quickly, beaming with confidence, and the other candidate answers every question slowly, and with less assertiveness in their response. tags: business intelligence, data driven decision making, data quality

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The data sharpshooter fallacy

Jim Harris (@ocdqblog) explains the Data Sharpshooter Fallacy.

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Would you rather analyze or prepare?

Are you one of those people that love doing analysis? If so, there is nothing quite like analyzing customer patterns, revenue trends, inventory levels, cost optimization, etc. -- especially when you can use that analysis to make changes that will optimize your business. But before you can start the analysis, […]

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