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You're reading from  Hands-On Industrial Internet of Things

Product typeBook
Published inNov 2018
PublisherPackt
ISBN-139781789537222
Edition1st Edition
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Authors (2):
Giacomo Veneri
Giacomo Veneri
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Giacomo Veneri

Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.
Read more about Giacomo Veneri

Antonio Capasso
Antonio Capasso
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Antonio Capasso

Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.
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The different classes of analytics

Analytics can be applied for different purposes and using different techniques. They are generally separated into three different families: descriptive, predictive, and prognostic. These are ordered from the simplest to the most advanced.

Descriptive analytics

Descriptive analytics are the most basic class of analytics. They analyze past data to try and provide a broad view of the fleet. In other words, descriptive analytics tries to answer the question What happened? These analytics use data mining, aggregation, or visual intelligence techniques to understand the status of the assets. In the I-IoT, the most common technique used for descriptive analytics is KPI monitoring.

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Hands-On Industrial Internet of Things
Published in: Nov 2018Publisher: PacktISBN-13: 9781789537222

Authors (2)

author image
Giacomo Veneri

Giacomo Veneri graduated in computer science from the University of Siena. He holds a PhD in neuroscience context with various scientific publications. He is Predix Cloud certified and an influencer, as well as SCRUM and Oracle Java certified. He has 18 years' experience as an IT architect and team leader. He has been an expert on IoT in the fields of oil and gas and transportation since 2013. He lives in Tuscany, where he loves cycling.
Read more about Giacomo Veneri

author image
Antonio Capasso

Antonio Capasso graduated in computer automation in 1999 and computer science in 2003 from the University of Naples. He has been working for twenty years on large and complex IT projects related to the industrial world in a variety of fields (automotive, pharma, food and beverage, and oil and gas), in a variety of roles (programmer, analyst, architect, and team leader) with different technologies and software. Since 2011, he has been involved in building and securing industrial IoT infrastructure. He currently lives in Tuscany, where he loves trekking and swimming.
Read more about Antonio Capasso