DataRaptor

Automation 🔴 Advanced
📖 3 min read

Definition

DataRaptor is a Salesforce automation capability that triggers predefined actions based on conditions or events. It reduces human error and speeds up business processes by handling routine operations programmatically.

Real-World Example

the Salesforce admin at FreshStart Inc. uses DataRaptor to automate a multi-step process that previously required three different people to complete manually. DataRaptor now handles the entire sequence in seconds, sending notifications at each step and logging every action for audit purposes.

Why DataRaptor Matters

DataRaptor is a declarative data interface tool within Salesforce Industries (formerly Vlocity) that reads, transforms, and writes data across multiple Salesforce objects without requiring code. It comes in three types: Extract (reads data from objects), Transform (converts data between formats), and Load (writes data to objects). DataRaptors are critical components in OmniScripts and Integration Procedures, serving as the data layer that connects guided user interfaces and automated processes to the underlying Salesforce data model. They enable industries-specific solutions to pull data from complex object hierarchies and present it in a single, unified view.

As organizations implement Salesforce Industries for complex verticals like insurance, healthcare, telecommunications, and financial services, DataRaptors become indispensable for managing the intricate data operations these industries demand. A single insurance quoting process might require extracting data from 10 different objects, transforming it into a format the rating engine expects, and then loading the results back to create policy records. Without DataRaptors, developers would need to write hundreds of lines of Apex code for each data operation. However, poorly designed DataRaptors with excessive object traversals, missing filters, or redundant transformations can significantly slow down OmniScripts and degrade the user experience, making performance optimization essential as transaction complexity grows.

How Organizations Use DataRaptor

  • FreshStart Insurance — FreshStart Insurance uses a DataRaptor Extract in their policy renewal OmniScript to pull the policyholder's contact information, current coverage details, claims history, and premium schedule from six different objects into a single JSON structure. The OmniScript presents this data in a unified renewal review screen, enabling agents to complete renewals in three minutes instead of twenty.
  • Meridian Telecom — Meridian Telecom configured a DataRaptor Transform to convert product catalog data from their legacy system's XML format into the JSON structure expected by their Salesforce Industries CPQ engine. The transform handles nested product bundles, price overrides, and compatibility rules, replacing a brittle custom Apex integration that required constant maintenance.
  • Pacific Health Systems — Pacific Health Systems uses DataRaptor Load in their patient intake Integration Procedure to create Patient, Insurance Verification, and Referral records simultaneously when a new patient is registered through their portal. The DataRaptor maps form fields to the correct objects and handles the parent-child record creation sequence, ensuring all related records are created in the proper order.

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