The cultural issues related to IoT are in some ways similar to those encountered during the adoption of enterprise-based Cloud services, as the Cloud isn‘t really a technology as much as a new way of working. Getting the benefits of the Cloud requires a shift towards a self-service or IT-as-a-service mentality. Such changes are often met with strong organisational resistance.
Maximising the benefits of IoT data might present similar challenges. A self-service analytic insight creation mindset (for example correlating data from within disparate organisational silos) requires the managers to be willing to tear down territorial walls.
The organisation should have competence in the field of technology and a good business model
The first step to a successful IoT journey is to have a goal and an ROI model, and to understand the market. The best way to initiate IoT is by employing Agile development and systems engineering. Systems engineering practices are vital for managing the complexity and creating the best solutions for the devices. This is connected with system architecture (the overview of the whole system and its components), requirement engineering and system testing. With the Agile methodologies, KANBAN and sprint planning, the teams are able to collaborate better and stay on the right path throughout the whole process.
The companies should know what the system requirements are and choose a suitable strategy accordingly.
For example, companies will need a cloud solution that will connect their apps with devices. They can either go with proven cloud service vendors or develop their own cloud-based solution from scratch.
Try out the use cases in a real-life setting and also assess the feasibility.
The best practice is to work on the IoT solution and use “security by design.” A pilot product should be launched to test the product on a small scale.
Identify meaningful data
There is nothing to be gained from simply collecting data itself; there must be some business value in the insights. In the industrial world, downtime is a major cause of lost productivity and cash. As such, it represents one of the key areas where IoT can help.
And finally, after successful evaluation of the use cases and pilot product, the solution should be scaled up so that it can be rolled out for a larger number of consumers or regions
