All IoT use cases generate a lot of data. Managing this data and making sense from the data is not easy, especially if you are just beginning with IoT use cases
Our solutions include:
- Data strategy and Implementations
- Big Data Assessments
- IoT Data Management using
- Relational Databases
- Streaming Data/Cache
Once the data are created, it is important to ingest data in the appropriate data value chain. This means, the data have to be:
- Extracted, transformed and loaded
This means using a variety of techniques and tools to move (and format) data from the source/s to destination/s.
There are several analytics use cases once you have collected the data and have made necessary modifications to it so that the data are useful.
These use cases typically start with identifying/detecting anomalies. The anomaly use case is almost universally applicable. Most IoT data needs to go through some sort of rules engine and finally requires some predictability,
To summarize, you would need to
- Detect Anomalies
- Build rules engine
- Predict discreet values
Turn Device Data Into Competitive Advantage
With Data Ninjas's IoT solutions, you will be able to make use of a variety of devices and make use of the data
Quickly understand opportunities presented by the devices and the data
Build a comprehensive system that is not only purpose built but optimized as well.
Visualize and Share device data in real-time to make decisions quickly and with confidence
IT & Business Stakeholders can keep data secure, simplify policies and achieve compliance without having to deal with incessant pressure to please everyone all the time.
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