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Book Description

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

  1. Finding Profit in Your Organization’s Data: Examples and Best Practices
    1. Introduction
    2. A Data-Driven World
    3. From Logs to Sensors
    4. Examples from the Field
      1. Industrial Machinery: New Value from Old Data
      2. Data Center: Identifying Patterns and Bottlenecks
      3. Healthcare: Redefining Markets by Reframing Products
    5. Data Analysis
      1. Key Considerations
    6. Best Practices
      1. Use What You Have
      2. Work in Phases
      3. Maintain Outside Perspective
    7. Conclusion