Making technology work for you...

Get Your Free Subscription By Email:

IoT Data Analytics

What is IoT data analytics ?

IoT data analytics describes the methods by which organizations gather large volumes of information (which can reach the petabyte level for some businesses) and analyze it go gain a better understanding of their own operations and their clients. Optimizing this process takes place in four stages, starting with the collection of data (generally unstructured) generated by IoT devices. This information is then stored in an appropriate big data IoT analytics system, which is much like an extended database. The system carries out IoT analytics processes (which may be tailored to meet the needs of an individual organization), and then generates reports in a user-friendly manner.

IoT Data

Critically, IoT data analytics must happen in real-time, or as close to it as possible. The reasons for this are clear when one considers predictive, proactive maintenance and troubleshooting and the cost-savings they can generate compared to a reactive approach. Predictive and preventive maintenance are deployed widely in the telecommunications industry, but are being adopted increasingly by many other sectors and companies whose operations include field service for all manner of devices.

This is just one of the many helpful tips we have posted, You can find more stories here,
Do subscribe to updates using your favorite RSS feed reader or using the secure FeedBurner email update form on top of this post.