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You're reading from  Principles of Strategic Data Science

Product typeBook
Published inJun 2019
Reading LevelExpert
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ISBN-139781838985295
Edition1st Edition
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Author (1)
Peter Prevos
Peter Prevos
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Peter Prevos

Dr Peter Prevos is a civil engineer and social scientist who also dabbles in theatrical magic. Peter has almost three decades of experience as a water engineer and manager, working in Europe, Africa, Asia, and Australia. He has worked on marine engineering, drinking water, and sewage treatment projects. Throughout his career, analysing data has been a central theme. He also has a PhD in marketing and is the author of Customer Experience Management for Water Utilities. In his work, he aims to combine the social sciences with engineering to create value for customers. Peter occasionally lectures marketing for MBA students. He is currently responsible for developing and implementing the data science strategy for a water utility in regional Australia. The objective of this strategy is to create value from data through useful, sound, and aesthetic data science. His mission is to breed unicorn data scientists by motivating other water professionals to ditch their spreadsheets and learn how to write code.
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The last step in the continuum is where machines take over our world, and human beings can relax and be served by their robot slaves. This vision might seem science fiction, but automated processes have been part of our lives for many decades.

Industrial systems need to be controlled by operators to ensure that they produce the outcomes we need. When, for example, a tank of chemicals reaches a certain low level, a pump needs to be started to fill it again, and the operator needs to monitor the tank. Manual systems require a human operator to review measurements of the state of the system and take appropriate action. The first level of automation uses a control loop to measure the level of the tank and an automated valve.

Almost all contemporary manufacturing processes use these first-generation control loops. The problem with these systems is that they rely on preset conditions that might not be suitable when external circumstances change. Traditional control systems measure...

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Principles of Strategic Data Science
Published in: Jun 2019Publisher: ISBN-13: 9781838985295

Author (1)

author image
Peter Prevos

Dr Peter Prevos is a civil engineer and social scientist who also dabbles in theatrical magic. Peter has almost three decades of experience as a water engineer and manager, working in Europe, Africa, Asia, and Australia. He has worked on marine engineering, drinking water, and sewage treatment projects. Throughout his career, analysing data has been a central theme. He also has a PhD in marketing and is the author of Customer Experience Management for Water Utilities. In his work, he aims to combine the social sciences with engineering to create value for customers. Peter occasionally lectures marketing for MBA students. He is currently responsible for developing and implementing the data science strategy for a water utility in regional Australia. The objective of this strategy is to create value from data through useful, sound, and aesthetic data science. His mission is to breed unicorn data scientists by motivating other water professionals to ditch their spreadsheets and learn how to write code.
Read more about Peter Prevos