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Why analyzing IoT data isn’t always easy

Emerging Trends  

You have all the data you need - now what? Data that isn’t actionable is not helping anything. The problem with big data is that it can accumulate very quickly and can become hard to manage! As Supply Chain Analytics Academy said, “Many companies are struggling to find value with IoT data. The costs to store, process, and analyze IoT data can grow quickly. With future financial returns uncertain, some companies are questioning if it is worth the investment.” What have you found in your experience? Do you think the data is worth the hassle?

Challenges associated with analyzing IoT Data

Examples of unique aspects of IoT data are:

A company can easily have thousands to millions of IoT devices with several sensors on each unit, each sensor reporting values on a regular basis.When IoT devices communicate sensor data, time may be captured using the local time.

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