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SmartData Collective > Exclusive > 6 Criteria for Choosing an IoT Application Development Partner
ExclusiveInternet of Things

6 Criteria for Choosing an IoT Application Development Partner

These six principles are absolutely essential if you want to create an IoT application as efficiently and reliably as possible.

Sean Mallon
Sean Mallon
4 Min Read
iot application development
Shutterstock Photo License - By Panchenko Vladimir
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According to the Gartner Institute, there were 5.8 billion devices connected to the IoT in 2020, increasing productivity and business efficiency.

Contents
1. Experience in creating IoT applications2. Do they ask the right questions?3. How is the communication?4. Is there a work process?5. How often is the software tested?6. Are they flexible?

With so much potential for user participation and growth, you may be looking for IOT software development partner to create your own IoT, which is an excellent idea. However, choosing the right partner to develop an IoT application should be made with caution, as IoT applications are more complex than traditional mobile applications that many software development companies have experience with.

So, what resources should you look for in a partner that can help you develop an IoT application?

1. Experience in creating IoT applications

The development of IoT applications is different from traditional web and mobile applications, due to its permanent connection between hardware, software and network. Application developers who want to trust the development of their IoT applications must know this and have the experience and skills necessary to bring their product to life. That is why the number one factor you should look for in an IoT application development partner must be a proven track record of building these applications.

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2. Do they ask the right questions?

No good software developer would start working on an application without defining the project’s requirements with the customer. Your IoT application development partner should do the same and ask why the application is being developed, the needs you expect to meet, your end users and many others to ensure you have a clear idea of ​​the scope of development being presented to them.

3. How is the communication?

Communication is the cornerstone of any good partnership, so we recommend asking questions about the frequency, tools and time when responses can be expected. Remember that the days when the email used to control communications in the workplace are over and that your partner should be able to use tools like Slack to solve problems when they arise, allowing the speed of projects to continue.

4. Is there a work process?

The proper work process is one of the most parts of IoT development. The times when software used to be developed in cascade methodology are long gone, with agile development taking its place. Your IoT application development partner should be able to provide you with a list of project resources that you can prioritize and have developed first, so that you have a product that can be delivered right from the start.

5. How often is the software tested?

Be sure to ask any IoT application development center that you intend to partner with in your software testing process. These tests should accompany the continuous delivery that you would encounter with the sprints and ensure that errors are corrected as they arise. This is very important in IoT applications due to its complex nature. The good news is that new cloud technology has made it a lot easier to test software applications more quickly.

6. Are they flexible?

Project requirements tend to change over time and your IoT application development partner should be able to adapt to that. You, as a customer, must also be flexible to some extent to accommodate the fallacy planning in software development, where people tend to be optimistic about the time and effort required to bring a product to life.

TAGGED:iot applicationsiot developmentiot devices
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BySean Mallon
Sean is a freelance writer and big data expert with a passion for exploring the depths of information that can be extracted from massive datasets. With years of experience in the field, he has developed a deep understanding of how data can be harnessed to drive insights and make informed decisions.

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