Here are three tips for managing data in the IoT context to make sure your enterprise is ready to handle the explosion of IoT data elegantly.

1. Data Diversity

There is a lot of fragmentation today in the IoT sphere at all levels.

Apart from a lack of standard in device types and platforms a bigger divide exists in IoT communication protocols (MQTT, CoAp, Bluetooth, Zigbee etc.) meta data formats, taxonomy etc. This creates a huge challenge for enterprises as now the onus of solving the interoperability problem lies with them.

McKinsey estimates that achieving interoperability in IoT would unlock an additional 40% of the total market value, which they estimate will be $11.1 trillion in 2025. Alternatively, failure to interoperate may reduce IoT total possible market by 40 percent.

To truly unlock the potential of IoT data, a business should be able to collate and relate data from different devices and domains. Since this is currently absent in the IoT hardware and software industries, enterprises need to bring in this level of intelligence in the form of smarter analytics systems or rule engines.

2. Selectively Collect

Identify early on “what” to collect intrinsically at the thing level. Sophisticated things today collect and transmit a host of business as well as operational information. Make an educated decision to identify which one of these parameters will be allowed to go further into your rules analysis or storage systems. This first step itself should reduce the amount of data you have to deal with downstream.

The second step is to “use and lose” the data to avoid storing it or unnecessarily propagating it for further analysis.

3. Living On the Edge

With the flood of new incoming IoT data, storage space and costs will soon become a constraint. Traditional databases were not built to handle such unprecedented volumes at such rates, hence data management has slowly started moving to the edge of the network. Edge analytics will allow organizations to pre-process or filter your data so as to not overwhelm your network or data centers.

 

This article originally appeared in blogs.air-watch.com.  To read the full article, click here.