Maximizing Big Data's Potential With the Internet of Things

Collecting data is just the first step. Before deploying an IoT solution, plan ahead and consider how you'll leverage data's value.
By Murali Nadarajah
May 18, 2015

With the Internet of Things movement gaining steam in business and industrial use, Big Data will notably streamline business processes and improve profit margins through ultimate connectivity. Big Data for an IoT organization will also assist with customer retention and cost reduction, for example. Over the next few years, we'll see greater fusion and correlation of Big Data from multiple sources. Connected devices generate enormous amounts of data, and through the IoT, companies will more easily be able to harness this new information, analyze it and use it to improve their business.

So, how can businesses maximize the burgeoning potential of the IoT going forward? Here are a few ways:

Change your viewpoint of the IoT.
The Internet of Things is full of potential, and we are already seeing some amazing projects, like the connected car and smart cities, come to fruition.

Take connected cars, for example. Research shows that 90 percent of all car accidents are due to human error. Connected and autonomous vehicles will dramatically bring this number down, substituting the error-prone human driver with driverless technology. They may also greatly alleviate urban congestion, by making car-sharing far more common.

Similarly, cities are always looking at offering public services efficiently, while at the same time supporting and sustaining long-term growth, and addressing congestion and more acute demands on limited resources. Sensors throughout the city will manage traffic lights, reroute traffic due to traffic jams and help reduce energy use.

While advancements are being made, some businesses still need to undergo a shift in their viewpoint regarding data collection and the IoT. Right now, a lot of companies are seeing it as the last-mile sensors that connect everything and collect data. However, that information is useless unless insights are derived through machine learning.

Consider how you will collect and use data.
Complete this evaluation step before implementing an IoT infrastructure to ensure that the correct data is collected via the IoT system from the time it is enacted. The challenge with sensors is that they collect a great deal of noise (unimportant data), along with valuable information. This can distract you from distinguishing the critical data from the noise, especially as datasets grow.

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