Dissecting Customer Data Processing in IoT for Enhanced Marketing

Customer Data is the most significant aspect of marketing & subsequent Customer Experience. Explore the anatomy of IoT data processing & IoT cloud data storage.

We hope you have a basic understanding of public cloud-based systems such as Amazon, Google, and Microsoft Azure.  And also having a basic understanding of data and databases on how information is stored and processed. You need to be familiar with how applications are built, deployed, and maintained.

Basics of IoT:

The very common question is, “what is an IoT Device? Well, it is any device, typically not a computer or a server that will store and process data and transmit data to some sort of a centralized storage system. We have millions of these today and perhaps 100 of them that we see in our life daily. There are phones, cameras, drones, smartwatches, automobiles, etc. like anything that can absorb and process data and retransmit it to some sort of a central device.

IoT devices are all around, and they are systemic. Ultimately this is about connecting things. And it is great that we have some device that can process information such as a smartphone or even computers within the car, but the ability for those devices to transmit information to some other type of a central computer and aggregate the data and share the data and respond to the data is where the value of the Internet of Things comes in.

So, ultimately, this is going to be about not only dealing with the devices that pick up the data and transmit the data to a central source but what happens at the central source especially in the cloud. Cloud Computing becomes probably the most viable topic and target that the devices can connect with. Therefore, IoT and Cloud Computing are tightly coupled.

IoT Data Flow:

• The IoT specifically how it works with cloud computing, is all about data production and what we do with that data. So, here in this article, I am going to explain about devices that send things back to a cloud-based system and a cloud-based system that may intern control aspects of those devices. 
• For example, a drone transmits information to a central computer on a cloud. The drone can now contain data that is the core of the drone, such as the ability to respond to objects such as navigation data and the object in front of it, so that it can avoid collisions. But the ability to take images and videos from that drone for example, over some sort of Farmer’s field to look at water saturation, and transmit those images to a centralized server is really what the power of IoT is.
• So, this is about leveraging the data. We may have local storage, which occurs at the device, and certainly, with the power of nonvolatile memory today, we can store gigabytes of information on devices that can fit in the palm of your hand. But this is also about storing information in some sort of a remote System, typically exiting on cloud computing. But it can also be a proprietary on-premise system.
• So, in some places, it has some sort of a network connection that can receive, store, and organize data. So, cloud databases tend to be the preferred technology for this because they are already connected, they’re pervasive, and they can scale up to as high as we need for them to scale up.
• But we have to do something with that data as well as to dell with the business intelligence service which, is the ability to look at the information that is coming back from logistics. For Example, in terms of how efficient truck drivers are moving across India, based on devices that are placed in the truck which, are IoT devices that transmit data back to a centralized server

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