A Case Study on How Klamp Simplified Complex ITSM Data Migration
Migrating critical IT data from SysAid to Freshservice can feel overwhelming, especially when thousands of tickets, assets, and knowledge articles are involved. But with Klamp’s proprietary data migration solution, the process becomes fast, accurate, and completely no-code.
This case study explores how Klamp helped a client seamlessly transfer their SysAid data to Freshservice ensuring zero data loss, full operational continuity, and a 15-day delivery timeline.
The Challenge: Complex ITSM Data Migration
The client had been using SysAid for IT service management but was transitioning to Freshservice for its modern UI, automation workflows, and scalability.
However, the data volume and relationships were extensive:
- 25,000 tickets (Incident and Change types)
- 2,200 assets
- 338 knowledge base articles
- Multiple custom fields, attachments, and notes
The challenge was to:
- Migrate everything accurately into Freshservice without disrupting daily operations.
- Maintain ticket relationships, asset links, and category structures.
- Work within Freshservice API limits (50 calls/min) while ensuring steady migration speed.
The client needed a secure, automated, no-code migration solution that minimized downtime and that’s where Klamp stepped in.
Klamp’s Approach
Klamp designed a no-code SaaS connector–based data migration framework tailored for SysAid and Freshservice.
The migration project was divided into structured phases to ensure precision, transparency, and full control throughout the process.
1. Discovery & Field Mapping
Klamp’s team began by analyzing both SysAid and Freshservice data structures.
They identified:
- Mandatory and custom fields
- Relationship hierarchies
- Attachment handling rules
- API access points
A detailed field mapping document was prepared, ensuring every piece of data had a clear destination in Freshservice.
2. Tool Configuration and Setup
Using Klamp’s proprietary migration engine, the team configured the data pipeline:
- Defined modules (Tickets, Assets, Knowledge Base)
- Set parameters for attachments and notes
- Configured throttling to manage API limits safely
Klamp’s no-code interface made configuration quick no scripting or manual intervention required.
3. Pilot Migration (Test Run)
Before the full migration, Klamp conducted a sample data migration (10 records per module).
This test validated:
- Field alignment
- Attachment integrity
- Timestamps and note formatting
Once the sample data was verified by the client, Klamp initiated the full-scale migration.
4. Ticket Data Migration
The bulk migration included 25,000+ incident and change tickets.
Klamp ensured:
- Comments, attachments, and notes were fully preserved.
- Public/private note settings remained intact.
- Failed records were auto-queued for retry using Klamp’s built-in error handling.
Even with throttled API calls (30/min for system stability), the migration completed smoothly and efficiently.
5. Asset Migration
Assets often form the backbone of ITSM systems. Klamp handled the 2,200 assets through a structured manual mapping process that:
- Linked assets to corresponding tickets
- Preserved relationships and metadata
- Ensured consistency in asset categories
6. Knowledge Base Migration
Klamp migrated 338 knowledge base articles while maintaining:
- Original categories and folder hierarchy
- Attachments and article relationships
- Compliance with Freshservice’s attachment naming standards
This ensured that the client’s self-service knowledge content was instantly available for agents and users in Freshservice.
7. Validation & Optimization
After the migration, Klamp performed an extensive validation process that included:
- Record count verification per module
- Random sampling for data integrity
- Cross-checking attachments, timestamps, and relationships
Any failed records identified in the log were reprocessed automatically until 100% completion was achieved.
The Result
The entire project was delivered within 15 working days, including setup, test runs, and final verification.
Key outcomes:
✅ 25,000+ tickets successfully migrated with comments, attachments, and custom fields.
✅ 2,200 assets mapped correctly with relationships maintained.
✅ 338 knowledge base articles preserved with full structure.
✅ No data loss, downtime, or performance impact on Freshservice.
✅ All operations continued smoothly post-migration.
By leveraging Klamp’s no-code SaaS connector, the client avoided weeks of manual data handling and potential data discrepancies.
What Made Klamp Stand Out
Unlike traditional migration scripts or manual CSV imports, Klamp provides a purpose-built data migration solution designed for SaaS-to-SaaS environments.
Why clients choose Klamp:
Speed: 60% faster migration than manual methods.
Accuracy: End-to-end validation ensures data integrity.
Scalability: Handles large ticket and asset volumes effortlessly.
Simplicity: No developers or complex coding required.
Klamp doesn’t just move data it preserves business continuity.
Conclusion
Migrating from SysAid to Freshservice can seem daunting when you’re dealing with thousands of tickets, assets, and custom configurations. But with Klamp’s proprietary data migration solution, the process becomes fast, structured, and worry-free.
By leveraging Klamp’s no-code SaaS connector, organizations can move their ITSM data with zero data loss, complete accuracy, and minimal downtime — all while preserving the relationships between tickets, assets, and knowledge articles.
This project proved how Klamp transforms complex data migration into a streamlined, automated workflow — empowering IT teams to focus on innovation rather than technical roadblocks.
With its combination of automation, reliability, and scalability, Klamp isn’t just a migration tool — it’s the bridge that helps businesses modernize confidently, unlock new efficiencies in Freshservice, and future-proof their IT operations.
FAQ
What do you mean by data migration?
Data migration is the process of moving digital information from one system, storage location, or format to another. This can involve transferring data between databases, migrating from on-premises servers to the cloud, or upgrading to a new application. A successful data migration requires careful planning to ensure data is moved accurately, securely, and with minimal disruption to business operations.
What are the four types of data migration?
- Database Migration
- Application migration
- Storage migration
- Cloud migration
What is data migration in ETL?
ETL data migration refers to the process of transferring data from one system or platform to another using the Extract, Transform, and Load method. Traditionally, ETL arose to bridge the needs of early data warehousing, consolidating data from multiple silos and legacy systems to central analytical repositories.