Supported Entity Types
Updated
A Data Connector can ingest any standard or a custom entity on the platform with the option with each entity supporting different connector types. The connector can also ingest System Entities, Cases being the only supported system entity now. This guide gives an overview on different entities and the supported connector types.
Defining Entities
Entities in the Sprinklr platform represent distinct data objects or records that capture important information. These entities can be anything from customer profiles and support cases to knowledge base articles and leads. Essentially, entities help structure data by defining key attributes and behaviors associated with different objects, enabling more organized management and processing of information.
Standard Entities: These are commonly used data structures that can be integrated into Sprinklr. While the specific standard entities available are not detailed in the provided sources, they typically include entities like Contacts, Accounts, and Leads, which are standard across many CRM and data management platforms.
System Entities: System entities are predefined components that play a crucial role in managing and organizing data across the platform. These entities, such as Cases, Tasks, Accounts, and Users, are built into the system to facilitate core business functions and streamline operations for social media management and customer experience. By leveraging these system entities, organizations can efficiently track and manage customer interactions, collaborate on tasks, and analyze performance metrics without the need for extensive configuration. This structured approach not only enhances data organization but also enables businesses to quickly adapt to Sprinklr's capabilities, ensuring that they can focus on driving engagement and improving customer satisfaction effectively. The integration of system entities within Sprinklr provides users with a robust framework for managing workflows and optimizing their social media strategies.
Custom Entities: Custom entities, on the other hand, allow businesses to create data objects that cater specifically to their unique workflows or specialized needs. For instance, if an organization has a specific operational process or unique data points not covered by standard entities, they can define custom entities with tailored attributes. This flexibility ensures that the platform can adapt to an organization’s specific requirements, offering greater control over data management and interaction.
Supported Entity Types
This table provides a list of the entities and the connector types that they support.
S No | Entity Type | Supported Connector Type |
1 | Standard Entities | SFTP, S3, GCS, File Upload, SQL |
2 | Custom Entities | SFTP, S3, GCS, File Upload, SQL |
3 | System Entity – Live Chat Cases | SFTP, S3, GCS, File Upload, Zendesk Standard Connector |
4 | System Entity – Voice Cases | SFTP, S3, GCS, File Upload, Zendesk Standard Connector (ticket data only), Genesys Standard Connector |
5 | System Entity – Email Cases | Zendesk Standard Connector, Freshdesk Standard Connector |
6 | System Entity – Source Agnostic Cases | Zendesk Standard Connector, Freshdesk Standard Connector |
Terms and Definitions
SFTP: Source File Transfer Protocol (SFTP) is a secure method for transferring files between systems over a network. Here, all the data, including credentials and file contents, are encrypted during transmission.
S3: Amazon Simple Storage Device(S3) is a scalable, high performance, and secure cloud storage service provided by Amazon Web Services (AWS). Data is stored as objects in buckets, and each object consists of data, metadata and a unique identifier.
GCS: A cloud storage service provided by Google, used to store and retrieve data on Google’s infrastructure. It is highly scalable and secure supporting use cases such as big data analytics and content delivery.
File Upload: Using File Upload, you can manually upload a file. There is no need to fetch the data from any location.
Zendesk Standard Connector: The Zendesk Standard Connector enables the user to import cases from Zendesk into the Sprinklr platform in a channel agnostic manner. Using the Zendesk Standard Connector eliminates the need for the customer to put the files in an SFTP/S3/GCS bucket in the Sprinklr specified format. When customer uses its own connector, it improves accessibility and enhances the user experience.
SQL: Structured Query Language (SQL) is a standardized programming language used to manage and manipulate relational databases.
Genesys: Genesys PureCloud Connector for Voice integrates the Genesys Cloud platform with Sprinklr's unified customer experience management system. Using this connector you can import voice cases into the Sprinklr platform.