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It appears that understanding the big picture of IoT development processes, for now, isn’t enough. The more specific and all-round insights you will dig up, the closer the future cash analysis will be to reality.
Having focused on IoT project key success factors, such as precise design thinking, a wide range of technologies in use, distribution channels, reliable partners, agile approach and others, make sure to avoid the basic mistakes:
Technical risks for IoT developers currently include at least four broader constituents:
We live in a totally mobile world, which has become a doubtless platform for IoT technology development. Here comes that teams once started with diverse mobile web development overcome potential competitors by default. Being well-versed in smaller chipsets, better batteries and flash storage capabilities, the companies have improved chances of staying viable in the market.
Every ‘thing’ in IoT collects data. Don’t downplay the significance of big data and its analysis. Learning the insights from collected and well-utilized information sources will allow you to foresee and prevent more formidable technical issues.
Security experts beat drums saying IoT deserves major concern of reliability. Among basic security issues, there is low authentication/authorization, insufficient or lack of transport encryption, unsecured web/mobile interface.
Cloud computing technology is the basis for IoT functioning. This relatively fresh sphere is being continuously boosted in share, which can lead to difficulty of choice and intractability. Therefore, IoT developers experienced in work with the services are in a more advantageous position compared to newbies.
You may ask why a programming language, what mistakes can an IoT developer make here? The fact is that with the onrush of computer technologies the uprise of new languages and debridement of those became out-of-date is inevitable. Though many young companies give much prominence to new ones and neglect time-honoured C and C++. Successful IoT development can’t do without the basic set of programming languages:
The irreplaceability of the basic languages is that they can be applied to practically any project. At least common skills here is a half the battle on the way to a winning IoT project.
If your team is one of those lucky enough to have started from web development, we won’t say anything new to you as you know the advantages of Python. The skills of work with the language are easily translatable and applicable for IoT development. For another thing, the programming language is easier to read, which simplifies the process of code verification when working in larger teams.
Java is another flexible language, which can be used for various projects. Java popularity doesn’t make it less valuable for IoT due to its high portability.
Go off the technical overlook and have a glance at the future product. Explore the environment in which your IoT project will be realized, think about what it will allow to a user and in which way it will be most valuable for a customer.
By grasping the main requirements your IoT project should meet, let it be a remote problem solving, automatic management of a complete data diagnosis made per week or anything else, you are more likely to make a right assumption.
Without coming to a consensus, starting IoT developers have a headache over the workflow organization. Team members who used to work with Scrum may insist on the methodology, in fact, they’ve already started to count story points for a new project, the old-timers used to Waterfall model will argue against.
You had the first iteration, that’s great! If not, it’s almost time to stop the free-for-all meetings and avoid the many mistakes newbies make.
There is no denying the technical constituent of IoT projects being of high importance. Though, a beginning IoT developer should have in mind a cohesive team can solve tasks faster with a higher performance.
Here are common personal traits a promising IoT developer should possess:
To become an expert in the 'iterative development' of IoT projects, you need to make a sober estimate of future projects and foresee your strengths and weaknesses. If you still don't feel confident over the process, you need to make better assumptions, tests, time measurements and adjust all the knowledge to your work to iterate the whole process again.
Consider the basic mistakes to find a needed business model, work over the functional specifications and customer engagement to succeed in your product development.
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