Introduction
As organizations continue to scale up their Salesforce implementations, the volume of operational data grows significantly over time. Daily business activities such as calls, lead interactions, customer engagements, support activities, and sales operations generate thousands of records. While this information is valuable for historical analysis, compliance, auditing, and reporting purposes, retaining all records in active Salesforce objects can lead to storage challenges, slower user experience, and increased administrative overhead.
To address this challenge, Archive Insights was designed as a generic Salesforce-based archival framework that enables organizations to archive historical records into structured CSV files while still providing an efficient mechanism for searching, filtering, and reviewing archived data directly within Salesforce.
Business Problem
Many organizations maintain years of historical data inside Salesforce. As data volume increases, several challenges emerge including increased storage consumption, reporting inefficiencies, audit requirements, and difficulty accessing historical information. Traditional exports often result in scattered files and poor governance.
Proposed Solution
Archive Insights introduces a structured archival framework that separates active operational data from historical data while ensuring users can still access archived information when required. The solution periodically extracts records from Salesforce objects and stores them as CSV files within Salesforce Files (Content Version). Users can then search for archived records through a Lightning Web Component interface.
Solution Architecture
The framework consists of four major layers: Batch Apex Archival Engine, Salesforce Files Storage Layer, Apex Service Layer, and Lightning Web Component Interface. Together these components provide scalable archival, retrieval, search, filtering, and pagination capabilities.
Technical Design
The implementation follows a layered architecture. DTO classes transport data between Apex and LWC. The Manager class handles archive retrieval, CSV parsing, filtering, and pagination. The Batch class generates archive files and stores them in Salesforce Files. The LWC delivers an intuitive user experience for searching for archived records.
Data Flow
Records are queried by Batch Apex and converted into CSV files. These files are stored as Content Version records. Users select archive files from the UI, apply filters such as mobile number and date range, and view paginated results returned by Apex services.
Key Benefits
Archive Insights reduces storage dependency, improves performance, enhances user experience, supports large-scale datasets, enables reusable architecture, and helps organizations optimize Salesforce storage usage while preserving historical data access.
Future Enhancements
Future improvements may include metadata-driven configuration, dynamic field mapping, multi-object support, advanced search capabilities, dashboard analytics, automated scheduling, and package-based deployment strategies.
Conclusion
Archive Insights demonstrates how Salesforce can be leveraged as both a transactional platform and a historical data archival solution. By combining Batch Apex, Salesforce Files, Apex services, and Lightning Web Components, the framework provides a scalable and reusable approach to historical data management.
For more information please visit the technical document of this article: