Introduction to Salesforce IoT Cloud and its Benefits
Salesforce and IoT have emerged as revolutionary technologies in the recent past, changing the way people interact with machines.

Salesforce and IoT have emerged as revolutionary technologies in the recent past, changing the way people interact with machines. Salesforce development companies are constantly looking for new and improved ways to make their users’ everyday operations hassle-free and smooth. While Salesforce is redefining the concepts of CRM (customer relationship management), IoT or Internet of things is streamlining our everyday work with a powerful network of sensor-enabled electronic devices.
Together Salesforce and IoT help businesses in advancing their operations technologically. With the combination of these two emerging technologies, every salesforce development company India is seeing a great opportunity in Salesforce CRM development.
Salesforce IoT Cloud
Salesforce has introduced a platform called Salesforce IoT cloud to store and process IoT data. It is powered by Thunder engine for real-time event processing. The best part about Salesforce IoT platform is that it is capable of storing big chunks of data in it. The gathered data is generated with the help of distinct websites, gadgets, partners, clients, and sensors. Salesforce IoT cloud developed by Salesforce IoT developers permits businesses to get an integrated and comprehensive customers’ perspective, without requiring any technical expertise. The event-processing engine of the cloud helps in capturing and filtering data in great amounts without any trouble.
Thunder is built on the below-mentioned open-source tools:
- Apache Kafka- a messaging system for handling big volumes of reads and writes per second
- Apache Spark- distributed large-scale framework for data processing for batch and streaming data
- Apache Storm- real-time big event and data processing platform
- Apache Cassandra- distributed database management system
Incoming data enters Kafka. The profile data from Kafka is taken by Spark and put into Cassandra for profile updates. Storm utilizes the data from Kafka for handling real-time events. The technologies run on Heroku PaaS of Salesforce to maintain the development environment and integrate other cloud services. Amazon Web Services is used for managing the connected devices and big data is transferred from sensors to the cloud and from the cloud to actuators and control applications with REST (Representational State Transfer) or RESTful API. Here’s how a Salesforce IoT Cloud is beneficial for you:
Assimilation of sensor data
The first step to meaningful insights is collecting data from customers’ connected things. One important feature of Salesforce IoT cloud is paying attention to customer context i.e., the environment in which a customer takes actions. Customer context is utilized in stream processing and contributing to creating improved real-time responses. The stored data is used for machine learning and data analysis. Big data warehouse is used for collecting preprocessed and filtered data while raw data gets stored in a data lake. Thunder functionality allows users to set filters for identifying important data from data streams.
Data Analytics
Data processing tools are a vital architectural component in IoT solution development as Salesforce IoT Cloud takes in multiple events per day. To improve data processing, a Salesforce IoT developer makes the Salesforce platform use Einstein Analytics- business analytics software built in the cloud. The software assists the CRM users in uncovering insights from big sets of data like sensor data, website logs, relevant ERP records, etc. Users get a wide view of how the services and products are used by exploring data from Salesforce and other sources. Einstein selects the best method of representing data (diagrams, charts, metrics, etc.) and asks users to build a story that makes the reports easy to read and understand.
Integration with other Salesforce products
While Salesforce IoT cloud can be used as an independent service for data processing and storing, it can be integrated with other enterprise applications. This integration guarantees a consistent flow of meaningful data from multiple sources and among multipurpose corporate systems. Einstein Analytics provides all-round reports with the data and forms important conclusions from the information about products, services and customers.
Linking data to customer experience
The data gathered from customers’ connected things can be utilized for improving customer management. Hence, control apps are able to send service notifications using a rule-based approach. By using machine learning-based controlling, the data from customers’ connected things can be effectively utilized for updating an IoT system. For instance, Einstein Analytics can help in knowing the patterns of utilizing a product most frequently that resulted in its damage, and let the users know if their actions can have a detrimental effect on a product.
Learning about new business and pricing models
By collecting and analyzing data from the connecting things, businesses get a wider view of how customers use their products and services and how efficient these are. With the data, businesses can discover opportunities for optimizing current business operations, providing improved and cost-efficient cooperation plans and models of using services and products to customers and exploring successful business models.
In conclusion
Salesforce IoT cloud can help Salesforce CRM development companies receive better insights into their customers along with real-time customer action. The cloud is a dependable tool for connecting enterprises with partners and customers and personalizing their interactions. Salesforce IoT platform helps you optimize your business operations to respond to customer queries quickly and stay ahead of the curve.
About the Creator
Carol Dissusa
Carol Dissusa, a strategic leader with 15+ years of experience, drives marketing growth at Damco, shaping strategy and business generation.
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