HANNOVER MESSE 2020,
20 - 24 April
Our Cloud Data Grid
1. Collect Data
The first step is often already partially taken. Data is collected by Process Guiding Systems, CRMs, procurement systems and/or other systems, but only stored locally if at all.
Often the available data is missing vital datasets to use it in advanced analytics. For example the room temperature for chemical processes or vibration data of machines.
We catch these datasets with IoT solutions.
2. Connect Data
To overcome database and IT silos, we connect your data sources/applications with our data grid. We do this via micro-service APIs.
We natively support OPC UA, MQTT and REST protocol for machine data as well as many application interfaces e.g. to SAP and SalesForce.
We also support to route data from one application to another decentrally, without saving any data in our environments.
3. Put Your Data To Work
Your data is now easily accessible and it is time to benefit from it!
From our platform we can plug in our smart services to your data. Please see above for a excerpt of our smart services.
All data which is fed to our data grid, can be analyzed with our built-in self-service analytics. Our self-service analytics are made extremely visual to deliver the most value to you and your colleagues in an easy way.
4. Keep collecting and extending!
Add more Data to the Data Grid and put more Smart Services to work!
Well, it's not easy either. But we have a pretty good view (at least we think so). Let's just talk about it!
Joint Pavillon Jung & Innovative Digital Factory
Monitor and predict your assets behaviour (e.g. pumps) with existing data from your systems and additional IoT sensors.
Build intelligent and advanced analytics ...
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