How IoT applications help business models to succeed
Production quality, efficiency, availability, energy data management or sustainability. The industrial world can save many resources, optimise processes, review and develop new business models by digitalising and automating processes. The opportunities arising from the digital world are obvious. IoT technologies can have a great impact here because they collect and process the data in the Industrial Internet Things of Things and extract information from it. But how do people in charge successfully realise business scenarios in the IoT environment?
There is a difference between IoT platform and IoT application: While the IoT platform provides the technology basis, IoT applications are specifically about the business case – the added value – that a company wants to generate. The focus is no longer on the stand-alone IoT platforms, but on the IoT applications. Customers bring different prerequisites with them and have many individual requirements. They focus on the business results, less on the features of the platform. The questions when selecting a suitable IoT platform are therefore: What options are there for the respective business objective? How do I go about it? And who will stand by me during the implementation?
First setting the goal. Then choosing the technology.
Decision-makers in companies know that digitisation projects have enormous potential. Most of the time, these projects are also given the highest priority. Nevertheless, 75% of all efforts fail. The necessary resources are not available. IT specialists are lacking. Time for innovation is scarce. And very often there is a high dependency on external inputs: An IoT application rarely touches only one department in the company. Bringing the different players with different interests to the same table is difficult. It needs consistent communication and the understanding that designing, developing and implementing an IoT application always involves a lot of change management in the company. This aspect is often neglected. People dive too deeply into the technology too quickly.
However, this has not yet come into play. In digitalisation projects in the IoT environment, many questions must first be discussed and clarified. The business requirements come into focus: What is my concrete goal? What do I want to achieve? Who do I involve in the project? Where are the risks? What hurdles will I encounter? And how can I ensure that my team and the users support the change process?
Driving digitalisation methodically
In a first step, all perspectives of the business department, the IT department and the decision-makers must be considered: Strategy, market, systems and processes. This enables a process to be defined that creates the desired state through the networking of intelligent machines and devices in production. Which data pots are important? Which systems need to be connected with each other? What information do I gain from it and how can it solve my problem or requirement? This is how you ensure that your project is also oriented towards the actual value creation processes.
Reduce the complexity of your IT
With the digital transformation, the number of platforms, applications, apps and interfaces increases. The Internet of Things is the network that connects numerous physical objects such as machines and measuring stations via the internet to exchange information. It is almost impossible to maintain every single interface, test every piece of software and check the many combinations with the respective hardware.
An integration platform is crucial to keep all IT applications manageable and to successfully realise IoT projects. It forms the technical foundation of the digital transformation in industry. This is primarily about organisation. A central point that orchestrates and visualises all internal and external data streams. The integration platform bridges the gap between the shop floor and the top floor and allows for the mapping and automation of cross OT/IT business processes. This reduces the maintenance effort and the communication relationships between the systems and thus the effort and costs involved in integration, maintenance and further development.
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