Wednesday, July 20, 2016

IoT Analytics - What is that?

What is it?:

In most cases watching is better than reading! While avid novelists might disagree, we in the world of Internet and Things (IoT) would prefer an effective, precise and intelligent visual representation of the plethora of information continuously generated by our beloved sensors.

RoboMQ IoT analytics does exactly this and much more. RoboMQ IoT Analytics helps you efficiently monitor and elegantly represent your data while providing intelligent, selective and crucial information in a simple and legible manner.
Keep a close watch on all your devices, monitor your sensors, organize your data visualizations and get total and seamless control over your IoT analytics.

An Example:
Jack runs a business providing storage and warehouses for commodity retailers, initially, with a small but growing business he was fine with physically monitoring the warehouses. But as the business grew, so did the complexity of managing it and the sheer scope of parameters and locations to monitor increased as well.

Jack then set up several sensors in his warehouses collecting data like temperature, humidity, movements, luminance, power consumption and more,  which has replaced his age old method of collecting this data manually with specific handheld devices. These new sensors constantly collect the data and send it as messages to RoboMQ IoT Integration Platform. Now all that he needs is an easy to use app to monitor and analyze the data collected by these sensors anywhere and at anytime.

RoboMQ IoT Analytics does exactly the same and much more... Jack can visualize his data, follow the trends it takes and manage his business much more effectively with this analytics. He simply opens his RoboMQ IoT Analytics application from his computer, phone or tablet and monitors his warehouses with a few clicks, saving himself a lot of time and money which was spent physically monitoring the warehouses  with help of few employees. Not only the old method time consuming but it could also be inaccurate at times and the constant monitoring was almost impossible.

With IoT Analytics, it’s as easy as it gets. Now he can act on the slightest irregularity in the data, delegate his employees at the right place on the right time all while relaxing in his office, saving effort, money and time. He can also add other users to the application with limited permissions so they can view the data and report or act accordingly.

Simple yet elegant, the IoT Analytics allows Jack to get total automated control with no programming needed!!!  A simple producer code is all that is needed to send the data from sensors to the RoboMQ and IoT Analytics takes care of the rest. Jack simply drags and drops the widgets that he wants for visualization and he is all set to go..

How does it work?:
The Sensors send data as AMQP, MQTT or STOMP messages to RoboMQ message Broker using a simple producer code. The IoT Analytics listener constantly listens for these messages and writes to the respective real time analytics database. The IoT analytics dashboard can easily be built by simple drag and drop of visualization components like  graphs, single-stats or tables with continuous data feed from sensors with guaranteed delivery.

Now that we have seen the flow, we can dive a bit deeper into IoT Analytics, learn and understand the key components and while at it, help Jack here set up the system for his warehouses.
Let’s start with helping him set up a producer which will send his data to the MQTT broker or any other protocol like STOMP, HTTP/REST, AMQP or JMS. To learn how to set up a producer through RoboMQ IoT Analytics go to our documentation page!

If you want to get started and try out IoT Analytics right away request a trial though our website. If you have any questions or want more information on RoboMQ IoT Analytics or any of our other products and features please reach out to us at info@robomq.io.



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