Plain English "Internet of Things" architecture - Part 3

Gist: Part 1 and Part 2 explored how "Connected devices" send data and a "Machine cloud" collects it. This post explores how this data transforms into business information.   

With "Connected devices" and a "Machine cloud", we now have a very large amount of data is coming our way. With all the data that we have on the Machine cloud, how do we bubble up the relevant information to our users, customers and partners?

3. Business Cloud: Call me maybe

The "business cloud" is where machine data transforms into business information.

This means, the machine data is filtered, translated, aggregated, inferred from and provided with appropriate context for the end users. It is here that business rules are applied to notify, create cases, post it to chatter etc.

In effect, this is the classic business logic layer where user / business rules are implemented. It is geared mostly for humans and can have a fairly complex logic for data visibility, device troubleshooting scripts, knowledge articles, integration with other business systems etc.

This is where the business value of the "Internet of Things" starts becoming more visible. The challenge here is how to transform from Engineering to Software, Design and Business Process.

Since this is business logic intensive, platforms such as shine here and from an implementation perspective, building solutions in this tier is very similar to a typical Salesforce implementation.

Example of vendors in this space include Salesforce, Etherios (their product is based on Salesforce) and other cloud based business platforms.