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Principles of Strategic Data Science

You're reading from   Principles of Strategic Data Science Creating value from data, big and small

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Product type Paperback
Published in Jun 2019
Publisher
ISBN-13 9781838985295
Length 104 pages
Edition 1st Edition
Languages
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Author (1):
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Peter Prevos Peter Prevos
Author Profile Icon Peter Prevos
Peter Prevos
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Toc

Data-Driven Organization

The previous section showed that data science is not necessarily just hype, but a strategic and systematic approach to using data. Using data in organizations is also called business analytics or evidence-based management. There are also specific approaches, such as Six-Sigma, that use statistical analysis to improve business processes. Many advocates of data science claim that the old and new approaches are different. Most definitions of data science focus on pattern recognition using large sets of data through machine learning. (Kelleher & Tierney (2018)). How does data science relate to its predecessor buzzwords? To understand this difference, we need to explore the early history of using data in business.

The idea that management can be science is just over a century old. Frederick Taylor was an American engineer who was dissatisfied with how factories were managed. He was a hands-on engineer who spent much time on the factory floor. Taylor noticed...

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