Consider the opinion that each user of connected objects is the client of an object manufacturer and a company that maintains these objects. With a cautious approach, the big data generated by these elements can become a valuable source of information for the suppliers of products and services: how customers use products and services, what is the current status of each product, what functions and services must be added or removed, how to increase customer satisfaction
Many companies have already discovered the benefits of CRM systems to manage customer related activities. With the Internet of Things, such systems could provide even more value in the collection and processing of continuous data flows from all sides of the connected devices of customers that were previously not accessible. Salesforce, a leader in customer management solutions, is also exploring the potential of IoT.
In our new article, we have shed some light on this topic based on our Salesforce consulting experience.
Salesforce IoT Cloud
Salesforce focus for IoT
The idea of Salesforce is to enrich the services provided with the benefits of a large amount of data collected from the connected devices and to allow CRM users (not prepared for serious coding) to create and customize their own applications to manage that data.
To store and process such data, Salesforce provides the Salesforce IoT Cloud platform. It is powered by Thunder, an event processing engine designed to capture, filter and respond to events in real time. Thunder is based on open source tools:
Apache Kafka (an email system capable of handling large volumes of readings and writes per second)
Apache Storm (platform to process large data and events in real time).
Apache Spark (distributed large-scale data processing infrastructure for transmission and batch data)
Apache Cassandra (Distributed Database Management System).
The incoming data is transferred to Kafka. Spark takes Kafka’s profile data and places it in Cassandra for profile updates. Storm uses Kafka data to manage events in real time.
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