Introduction
IT service management relies heavily on data accuracy and system reliability, organizations cannot afford disruptions during platform transitions. This case study highlights how we migrate data from ChangeGear to Freshservice using klamp’s proprietary data migration solution. Through precise planning, technical innovation, and a strong focus on maintaining data integrity, klamp delivered a seamless transformation of the firm’s ITSM ecosystem.
It also showcases why klamp stands out as a trusted partner for enterprise-grade data migration initiatives.
ITSM operations by moving from ChangeGear to Freshservice. Freshservice offers improved usability, scalability, and automation key factors for supporting the firm’s growing digital environment.
However, the firm needed more than a simple transition. They required:
- Full retention of existing ChangeGear data
- Accurate mapping to Freshservice’s structure
- Zero data loss
- Minimal downtime
- Seamless continuity for ticket management, asset tracking, and ITSM workflows
To achieve this, they partnered with klamp, using its advanced automation framework and migration capabilities.
Challenge
Migrating historical ITSM data is never a straightforward task. ChangeGear and Freshservice differ in how they store, organize, and structure information. The challenges included:
- Transferring multiple ticket types: service requests, incidents, change requests, and knowledge base data
- Preserving ticket conversations, attachments, and internal notes
- Overcoming strict API rate limitations imposed by Freshservice
- Ensuring accurate field mapping across both systems
- Performing multi-phase delta migrations before the final cutover
Klamp’s objective was clear: build a reliable migration pipeline that ensures maximum precision while keeping Freshservice fully operational from day one.
Approach
Klamp designed a two-phase migration strategy to ensure accuracy and continuity. The plan focused on syncing ChangeGear data in two batches before the cutover date, minimizing risk and enabling validation between phases.
Pre-requisites
To prepare for the migration, klamp ensured the following:
- Access to the customer’s Freshservice instance – already provisioned
- Complete data dump from ChangeGear in CSV format
- Field mapping between ChangeGear and Freshservice – already established
These components allowed klamp to construct a migration framework tailored to customer requirements.
Implementation strategy
Two-phase ticket sync
To ensure complete coverage and reduce downtime, klamp implemented a dual-sync approach:
First sync: historical data until 01 june 2025
The first batch included all ticket types up to June 1, 2025. klamp ingested the CSV dataset, processed field mappings, validated data formats, and pushed the records into Freshservice through its API.
This sync established the baseline for all historical data, enabling the firm to begin reviewing records inside Freshservice early in the migration cycle.
Second sync: delta sync through 09 june 2025
The second batch addressed all new and updated ChangeGear records up to the final cutover date of June 9, 2025. This phase was essential to maintain full fidelity between both systems.
With Freshservice API throttling in place, klamp’s throttled migration engine ensured:
- Controlled API requests
- No rate-limit penalties
- Consistent, error-free ingestion
This mechanism helped maintain a stable, reliable flow of data during peak migration periods.
Freshservice API constraints
Freshservice’s API limits require klamp to optimize batching, pacing, and retry logic. Klamp engineered an intelligent queuing system that adjusted the migration speed dynamically based on available API bandwidth.
Key optimizations included:
- Adaptive rate control
- Parallel data processing with serialized ingestion
- Automated error detection and retry workflows
These technical enhancements ensured that the migration remained uninterrupted and fully compliant with Freshservice’s API rules.
Project timeline
Klamp committed to delivering the delta migration within seven working days after SOW approval and fulfillment of all pre-requisites. This included:
- Data extraction
- Data sanitization
- Validation and mapping checks
- Two-phase sync operations
- Post-migration QA and reconciliation
The timeline showcased klamp’s confidence and proven methodology in delivering enterprise-grade migrations efficiently.
Outcome and impact
Successfully transitioned to Freshservice with:
- 100% data accuracy across ticket types
- Zero record loss
- Retained conversations, notes, and attachments
- Smooth cutover with no operational downtime
- Improved visibility and reporting
- Enhanced ITSM efficiency from day one
With Freshservice now fully operational, the firm gained access to improved automation capabilities, better UI experiences, and streamlined IT operations all powered by klamp’s migration strategy.
Why klamp for enterprise data migration?
Klamp’s platform is designed for organizations that value precision, security, and scalability. With its specialized migration engine, klamp provides:
- Automated field mapping
- Intelligent error handling
- Scalable API orchestration
- Secure file ingestion and processing
- Custom workflow creation
- Enterprise-grade compliance
This case study is a testament to klamp’s ability to execute complex migrations with efficiency and confidence.