How to Avoid Industrial Internet of Things (IIoT) Data Overload

The internet of things development has already become an international service. Equipped with hundreds and thousands of sensors smart industrial IoT devices provide a whole new level to data-driven business decisions.

Industrial IoT

Just a few years passed and the IoT market has now doubled in value, which basically means a double increase in the diversity of applications and industries that benefit from their implementation.

The advantages are obvious, the statistical information has become so accurate, that you can endlessly optimize the current business processes and develop new strategies based on reliable data. Most of the shortcomings are related to the need for gathering, processing and management of the huge data.

In this post, we’ll try to figure out all the data pitfalls to be avoided while developing your IIoT solution.

Why you need industrial IoT solution?

A good IIoT solution can gather huge data but will you be able to process and analyze all of it?

That’s the main reason experienced companies suggest answering a few vivid questions before reaching out to an Internet of things development company:

  1. Why do you need an IIoT solution?
  2. What tasks do you want to solve this way?

What benefits will you get from the industrial IoT?

If you find time to analyze the previous step correctly, you have all chances to turn these benefits into your company story:

  • Get additional cost savings on electricity through sensor-equipped devices and controllers. Note that in this case you not only save the business money but also comply with all the current nature protection standards;
  • Automate monitoring to increase employee safety;
  • Advance from the machine-like precision in preventive maintenance program;
  • Decrease costs you spend on non-energy utilities;
  • Optimize your workspace through non-compulsory employment of workers;
  • Use heatmaps to monitor activity in a specific working area.

Also, let’s not forget that you can apply both a local IoT solution for one conveyer belt or an all-inclusive comprehensive IIoT. You make the decision based on the current business needs and funding.

If you decide to opt for an all-covering IIoT, then you have to take into account the future the need for processing large amounts of data. According to your decision, some sets of data can be more high-priority than others. This way IIoT developers can reduce the amount of recorded data thereby unloading the system.

Say, you’ve decided to implement an IIoT solution that primary goal is to monitor and identify errors in system work. And after a while, you decide to widen the options with sensor-embedded lighting fixtures to save on energy costs. In this case, you’ll have to take care of the further storing and analysis of the increased number of gathered data.

How to make it with no overloads, we’ll describe below.

Optimizing Internet of Things (IoT) network

How you can optimize the process to avoid data overload?

You’ll need two constituents: a sustainable IIoT technological solution and dedicated team of workers.

Long-term experience in IoT development lets us say that up-to-date sensor-sourced IIoT solutions can automatically record data and archive it in a special software platform. What does such a platform include? Simply put, it goes with a set of solutions for further tasks, such as tracking conditions, power, etc. Thus, being transferred to this platform for archiving, the data is processed and stays for your using.

What problems does such platform solve?

  1. First off, it stores both real-time and historical data.
  2. Secondly, the place is absolutely secure.
  3. Thirdly, you don’t need to recollect all the gathered data from different sources for the analysis, as all data is saved in one place.
  4. Fourthly, you don’t need any technical skills as such platforms are designed with user-friendly graph, line and chart reports.
  5. Fifthly, and what is more importantly, the absolutely automated process of data gathering disengage your workers.

As additional pros, we can also name saving time to identify a problem, thus, it’s solving.

As we’ve mentioned, you’ll also need a dedicated cross-functional team. It is not just a one-time option from the world of staff management, but a working solution. So, while getting ready to integrate an industrial Internet of things, be ready to recruit or organize a cross-functional team that will maintain the new equipment. Who are the players? To cover diverse needs on the new system, you may need reps from different departments, such as IT, product and business developers and even CTOs. This may look like an extra step, but for building smart business initiatives you do need people who are looking at your business from different angles.

To sum up

Let’s assume why IIoT is a good investment despite the data overloading risk:

  • IIoT have real ROI;
  • complex IIoT environment copes with impossible challenges;
  • investing in IIoT is proved to be a smart step in a long-term view and we are ready to show this on your example.

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