The amazing part of the Internet of Things (IoT) is its ability to deploy hundreds, thousands, or even millions of sensors to gather data that hasn’t been available before—data coming several times a minute or an hour or a day, that couldn’t be collected by individual humans, ever.
The Real Magic of IoT at Enterprise Scale
Having five, 10, or 20 sensors to gather new data would be interesting, but probably not interesting enough to transform your business. Now consider getting real-time product usage information from 5,000 customers, or operational information from 21,000 oil wells. If you want transformation, you need scale.
Take, for instance, an oil and gas company that loses $500 for every hour that a single oil well is not in operation. After adding sensors to measure oil extraction rates, temperatures, well pressure, and more for 21,000 wells, they can now detect issues as soon as they arise. The team can further reduce downtime and increase production levels by disseminating this information to field crews to make adjustments or repairs. They estimate that quicker oil well repairs saves approximately $145,000 in cost avoidance per month per field.*
Sensor Dependence at Scale
With IoT, sensors and connected devices are the eyes and ears of your future. Everything will depend on the connections, networks, and applications working correctly, safely, and securely.
How will you know if these thousands of sensors and devices are operating correctly? They can’t be checked individually. If they are not operating correctly you won’t be getting good data, and bad data may be worse than no data at all.
Then scale will be your downfall.
Review the infographic to learn the six best practices to avoid the pitfalls of IoT at enterprise scale.