Using log data to create value isn’t new to mechanized industries. But in today’s data-driven environment—particularly with the rise of the Internet of Things—this type of data exhaust can be converted from inactive, latent assets to critical-path components of an overall production ecosystem.
In this report, Cameron Turner provides three real-world case studies in which his company, The Data Guild, served as a product co-development consultancy. You’ll learn how an energy efficiency firm, a tech company, and a healthcare organization combined their historical logs with newly generated sensor data from the IoT. By leveraging machine learning to proactively identify efficiency and opportunity through prediction and recommendation, each company was able to deploy an ROI-generating solution and gain a significant business advantage.
This report also provides advice for successfully implementing IoT data, as well as key factors to consider when performing data analysis.
Table of contents
Finding Profit in Your Organization’s Data: Examples and Best Practices
- A Data-Driven World
- From Logs to Sensors
- Examples from the Field
- Data Analysis
- Best Practices
- Title: Finding Profit in Your Organization's Data
- Release date: March 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491942246
You might also like
Designing Data-Intensive Applications
Data is at the center of many challenges in system design today. Difficult issues need to …
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. …
Evaluating Machine Learning Models
Data science today is a lot like the Wild West: there’s endless opportunity and excitement, but …
Data Science from Scratch, 2nd Edition
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, …