Clone and modify working applications with fully functioning devices, firmware, dashboards, data pipelines and analytics.

Then mix/match sensors and telemetry and consume information through multiple devices. Work with your preferred visualization tools including Node-red, Grafana, Kibana (elastic search). Examine datasets using machine learning tools such as H20, Orange2, Rapid Miner or access through Jupyter to produce custom models with python. 

Access open forums with plugs-ins and examples templates for all the popular visualization tools or utilize Cypernet visualization consults to create stunning use-role based dashboards featurning information aligned to your industry and use-case. Merge sensor data with public information such as from weather and location services to add further meaning and effectiveness to your displays.

Engage Cypernet to prepare data visualization strategy to fully utilize the combination of digital, mobile, physical, foyer, production floor and virtual appliances to deliver the right information to the right people at the right location.

With the end game of demystifying data science, Cypernex will help you create and reuse modelsacross the enterprise. The process starts by using data mining tools to explore and evaluate features and then save / convert into discrete models that are encapsulated in microservices to be used in the cloud on with edge compute devices.

For more complex analysis you can still engaged a data scientist to prepare and train models, that once complete can be redeployed across the ecosystem.