Internet of Things (IoT)

IoT starts with organizations hunting for operational efficiency. Subsequently, they begin by connecting devices and capturing data.

Internet of Things (IoT)

Gain insight and agility: When you connect business systems and tap into new and existing data streams, you get real-time visibility into your processes, enabling you to make smarter decisions now, and better plan for the future.

Build a competitive edge: By putting the Internet of Things to work against the competition, companies can gain an edge that allows them to become leaders in their industry.

When you harness your data and connect your people and infrastructure, you can unlock new opportunities, increase efficiency, delight customers, and gain a real advantage over the competition.

Open new business opportunities: By harnessing and analyzing data, organizations can more quickly spot trends, identify, and prepare for new opportunities, open new revenue streams, predict customer and partner behavior, and innovate faster.

Redefine customer service: When you build the Internet of Your Things for your business, you gain greater insight into your customers’ wants and needs, allowing you to provide what they want—sometimes before they know they want it.

When you create truly personalized experiences that surpass your customers’ needs, provide instant access to inventory information via a connected devices, or offer speedy, streamlined service, you raise the bar on customer service. Ultimately, this leads to loyal and repeat customers.

IoT Maturity - Operational Efficiency

IoT starts with organizations hunting for operational efficiency.  Subsequently, they begin by connecting devices and capturing data. The cloud means that traditional concerns about "too much data" are much less prevalent and getting started does not require a large amount of investment.  Customers will be monitoring the IoT devices themselves and the things they they’re connected to, providing insights and opportunties for digital transformation. 

Often customers will be using real time rules and alerting to make decisions in an ad hoc fashion about their things and action can be initiated through Dynamics 365 for Customer Service or Dynamics 365 for Field Service.

IoT Maturity - Business Intelligence

Organizations start to develop some business intelligence around the huge streams of available data. Once they’ve built a data set customers will start to derive insight from this. This moves from experimentation and exploration of data to insight, often using machine learning and other statistical and predictive models.

The cloud and predictive analytics work really well together. This is because predictive analytics requires a lot of computing power, which is "on tap" in the cloud.


IoT Maturity - Business Transformation

Customers can then integrate IoT into their broader business and explore new areas in which to deploy IoT solutions. Data and devices in the field unlock new opportunities to partner with other organizations who are also interested in the hardware platforms and data streams or develop new products and services with-in your own organization. 

Digital Transformation requires connectivity like never before, utilizing the Azure IoT Hub in order to collect, analyze and action data insights — you can provide a level of service to stay ahead of the competition. Combined with Dynamics 365, this data collection becomes actionable in your operational systems.

Real-Time - Remote Monitoring

Remotely monitor your devices in real-time, gaining visibility into what's happening including actionable triggers to your Dynamics 365 line of business applications to resolve any issus. 

Azure IoT Suite is a complete solution that can be deployed via cloud or locally and can be modified to suit custom scenarios. 

Command and Control your devices remotely as well as the ability to define rules and actions based on the data you are monitoring.

Predictive Maintenance

Monitor your IoT devices for predictive maintenance. Know when something is likely to breakdown before it does. Create actions to send out a technician to servcies the device and prevent downtime of your monitored devices. With pre-build models and Machine Learning, you can define the rules and actions that take place associated to your devices. Collect the information in real-time and generate alerts to field technicians to resolve the issues before they become bigger problems.