Data migration is a critical bridge between legacy systems and a future-ready solution like Certinia, and every step of the process is managed collaboratively within Campfire. Campfire is the central hub for aligning scope, managing artifacts, tracking progress, and surfacing issues—all in real time. It turns a complex, multi-stakeholder process into a structured, shared workspace.
Our proven five-phase approach to data migration is captured, managed, and executed entirely in Campfire:
Clarifying Scope & Building the Foundation
The migration journey begins with a Data Migration review, which is documented and tracked in Campfire. Key goals include:
This information feeds into the Data Migration Crosswalk Template, a collaborative document that outlines field mappings, dependencies, and load sequences—it is linked and version-controlled in Campfire.
A Timeline with Key Milestones
All major activities and deadlines are tracked within Campfire:
1. Data Migration Plan
Approve due dates for deployment milestones (before Design & Define ends)
2. Complete Crosswalk / Template
Finalize mappings and ensure custom fields are reflected (before Build ends)
3. Data Migration into Production
Migrate to Sandbox and validate during Scenario & E2E test events
4. Final Deployment
Complete production migration and secure sign-off before go-live
Each phase is documented in Campfire, with due dates, responsibilities, and file uploads clearly assigned.
Roles and Responsibilities
Campfire allows each team member to stay accountable by outlining roles:
Tasks are assigned and tracked directly in Campfire, ensuring visibility and collaboration.
Keys to a Successful Review
Success requires more than just execution—it depends on shared understanding. In Campfire, teams stay focused with:
Teams are encouraged to ask questions, raise flags, and contribute continuously—Campfire captures all of it.
Output & Next Steps
After the review, Campfire becomes the launchpad for action:
By working within Campfire, data migration becomes not just possible, but predictable and repeatable.