The value of industrial analytics is data.
Industrial analytics is not about devices and hardware, it's about connection. It links everything with the internet.
Industrial analytics is not simple or easy to understand and requires a lot of expertise.
We use this term to set the right scope and relinquish wrong expectations.
In general, internet of things (IoT) is a highly complex subject. Due to this complexity, some myths and unrealistic expectations arise. Thereby, the term "things" is not helpfull in understanding the meaning of IoT. Tell me, do you know one term that is more vague than "things"?
Sensor data are highly time-dependent, which requires a deep knowledge of time-series analysis and a deep knowledge of related analytics techniques.
Industrial analytics solutions require a range of IT expertise and skills that may be expensive and in short supply.
IoT technologies, best practices, architecture and markets are not well-established.
There’s no technology offering software or service that is sufficient to support the end-to-end workflow of an advanced IoT solution.
IT architects face complex integration issues in designing and deploying heterogeneous multiplatforms and cascading IoT solutions.
We help customers develop a long term vision and solution.
We create awareness and a common understanding about industrial analytics during our workshops and awareness sessions. Design thinking helps us to capture the scene of this complex, but highly valuable subject.
We build Proof-of-Concepts and prototypes, focussing on:
Integration in bigger data platforms
We select the right technology or vendor for your job.
We extract value from your sensor data.