Industrial Analytics Report 2016/17

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Report Value $999 – Download For FREE thanks to the sponsors Hewlett Packard Enterprise, CommaSoft, and Kiana Systems.

The report analyzes the current state of data analytics in industrial settings.  It highlights the results from an in-depth industry survey of 151 analytics professionals and decision-makers in industrial companies, provides a deep-dive into key topics such as machine learning or IoT-based analytics, and showcases 3 prime case studies of applied analytics in the industry.

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Description

Industrial Analytics Report 2016/2017

The report aims to steer industrial decision makers through the challenging process of developing analytics-based applications in industrial settings.

This report includes:

  • Results from an in-depth industry survey of 151 analytics professionals and decision-makers in industrial
    companies
  • Introductions to Industrial Analytics, its relation to the Internet of Things and Industry 4.0, how analytics has
    evolved over time, what Machine Learning is and what value and paradigm shifts Industrial Analytics brings to the
    industry
  • 3 prime case studies of actual Industrial Analytics projects (in the areas of energy, healthcare, and automotive)
  • Further insights into aspects such as how to organize for Industrial Analytics, which skills to build up and how to approach these projects

Selecter report insights:

  • 69% of decision makers believe Industrial Data Analytics will be crucial for business success in 2020
  • Increased revenue is the main value driver for Industrial Analytics projects
  • Predictive and prescriptive maintenance as well as customer/marketing-related analytics are the key applications cited
  • Out of all analytics tools, the importance of Business Intelligence and advanced analytics tools is projected to increase the most
  • Agile project development and Design Thinking have become the norm already today for industrial data analytics
  • There is a huge Data Science skill gap (92% of respondents say data science skills are important but only 22% of firms have all necessary skills on board)

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Additional information

Publication date

November 2016

Pages

58

Sponsored by

Hewlett Packard Enterprise
CommaSoft
Kiana Systems