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Think about: What business benefit do you want if you could get anything from your product in use at your customer? Then decide what you want to achieve, what data you need and how to get it. Decide up front and design your product accordingly and extend your IT infrastructure to support this.
It is still not done by itself, but taking small steps instead of diving into Big Data at once is perhaps more appealing.
Big Data and full blown Io T can be too intimidating and a too big step for smaller companies.
Yet it is possible for them to enter the race without too high investment.
This platform is based on an ontology-based task context model, that represents the conceptual associations between a task and the task related e-mail process.
We have built the task context model as a semantic representation model of the associations between the task and the task-related e-mail process.As the small data can be well defined and structured it can easily be combined with your existing well defined and structured data.The typical information sources will be CRM, ERP and PLM.has an interesting article about using PLM and Io T in an old industry to create new business opportunities.
Summary The key is understanding your product, how it is used by your customer and what additional data that could give you an advantage.
You have control of the conveyor belt while your customer manages the whole transportation system.