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)
Download report:
Click below to download this comprehensive 50+ page report for FREE: