Real-time business transformation. Digital transformation led by information.

Defining Internet of Things (IoT)

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IoT Consulting

Focussed on industry leadership, best practices, research and tangible solutions, Satalyst’s IoT consulting and Advanced Analytics team can help your organisation transform. Let us show how your organisation can make data its biggest asset and improve decision making, efficiencies, cost savings and finding new revenue streams.

Satalyst’s expertise in cloud technology, IoT and advanced data analytics positions us as leaders in IoT application consulting, thought leadership, innovation, business cases, solution design and delivery.

Use the technology behind the Internet of Things to build on your existing technology assets, devices, sensors, cloud services and data to create new business value.

We have a number of IoT based IP and products in the market and undertake IoT ideation workshops with organisations taking the first steps into IoT, through to innovation and product roadmap planning.

Azure IoT Suite

As Microsoft partners, Satalyst works with the Azure IoT Suite. Satalyst is a Microsoft preferred partner for solutions using the Azure IoT suite

Fast – start in minutes

Secure – End-to-end

Open – connect to anything

A cloud-based offering with preconfigured solutions that address common Internet of Things scenarios, so you can capture and analyze untapped data to transform your business.

The Azure IoT Suite is an integrated offering that takes advantage of all the relevant Azure capabilities to connect devices and other assets (i.e. “things”), capture the diverse and voluminous data they generate, integrate and orchestrate the flow of that data, and manage, analyse and present it as usable information to the people who need it to make better decisions as well as intelligently automate operations. The offering, while customisable to fit the unique needs of organisations, will also provide finished applications to speed deployment of common scenarios we see across many industries, such as remote monitoring, asset management and predictive maintenance, while providing the ability to grow and scale solutions to millions of “things.”

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