At HSO, we see plenty of IoT, AI and Machine Learning initiatives at companies that want to work data-driven. These organisations hire data engineers and data scientists to get started with innovation. The bad news: many of these initiatives are stranded in the demo or proof-of-concept phase.

Read on to learn how you can get past the proof-of-concept phase and ensure that your IoT project is fully adopted and supported by the business.

Start small and focus on the business case

Starting small and with a proof-of-concept is not a bad step in itself. But make sure that the end user is hooked up at an early stage and thinks along about the use case and the impact of the use case on his work processes. It’s important to think about:

  • What do you want to do? 
  • What do you need?
  • What are the benefits? 

Involve domain experts in the project

Data only has value if you can interpret the information correctly. So without specific knowledge of the domain, product or sector you are working with, the chances are that an IoT project will not succeed. After all, you need to be able to properly assess the quality of data and understand whether deviations and signals have a cause in practice and what the possible impact is on business processes. 

Technical infrastructure is important: but don’t lose yourself in this

The first question that we often get from practice is: which platform or which IT infrastructure is needed? For the POC phase, it’s important to be able to start quickly. The business case is usually not yet complete, and often during the POC phase you will learn which infrastructure is necessary when you bring your IoT project to production. We advise you to draw up a roadmap for expected future expansions of your data applications. Based on that roadmap and the experiences in the ‘testing ground’, you can then determine which cloud infrastructure best suits this. 

Stay in touch with end users and their needs

For data engineers and data scientists, there is nothing more fun than being able to give surprising insights and make connections. But it is important to stay in touch with the business and with your end users. What does the business need to actually work smarter and more efficiently and save costs? In short: you need each other to come up with a well-working concept and ultimately get this past the POC phase. 

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