Fast data in the IoT era

The Internet of Things has been one of the most exciting trends in corporate computing throughout the past two years, as a proverbial universe of gadgets and tools are hitting the market quickly. Although the raw objectives and missions of business leaders who are embracing the IoT are largely connected to increased operational agility and productivity, the analytics implications of the trend are vast and growing as more firms begin to realize the opportunities therein. 

Now, if companies only achieve relatively standard big data analytics performances with the IoT, the results will not be as prolific as when the firms focus on fast data and the generation of real-time intelligence. So much information will be generated by devices that fall into the IoT category, and it will take an overhaul of analytics strategies to ensure that firms can turn data into profitable ventures rather than missing the point entirely. 

A match made in heaven
Tech Republic recently reported that the average business is looking to find ways to not only inform the C-suite with big data-generated insights, but also ensure these intelligence platforms are accessible across departments. The consumerization of analytics has gained a bit more traction as the solutions involved become more intuitive and affordable, while the IoT presents a unique opportunity to build on this objective. 

How are businesses approaching the IoT?Careful planning with be critical to achieve fast data in the IoT era.

According to the news provider, the sensors in devices will be able to fuel analytics strategies targeted at the IoT, but collection and the actual analysis of that information can be very difficult given how complex data sets are becoming. Looking at some of the ways in which major device manufacturers are going about analytics in the era of the IoT might be helpful for all companies pursuing similar ventures. 

The source pointed out that GE has invested resources in its campaign to learn the best practices of data harnessing through the IoT, and that the goal is essentially to improve upon device performances. Real-time collection and analysis will be critical to gaining this particular form of value from a big data venture in the IoT. 

"Applying current best practices of analytics can help speed up the IoT endeavors."

Around the bend
In many situations, optimizing big data strategies for the IoT is going to take some time, and there is still much work to be done from a research standpoint to get a handle on these matters. However, applying the known best practices of data analytics can help speed up the process and reduce the risk of poor investment performances. 

This includes making sure the strategy is focused on the collection of quality information rather than just massive quantities, and making speed of insight access the highest priority. As the IoT trend begins to mature and businesses get a handle on the general information governance demands therein, so too will relevant analytics programs become more viable.