Project Management migration
Field-level mapping, validation, and rollback between BigTime and Jira. We move data and schema; workflows are rebuilt natively in Jira.
BigTime
Source
Jira
Destination
Compatibility
9 of 12
objects map 1:1 between BigTime and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
BigTime is a professional services automation platform combining time tracking, resource management, invoicing, and billing for consulting, engineering, and accounting firms. Jira is a work management and issue tracking platform with strong agile boards, customizable workflows, and over 3,000 integrations, but it has no native invoicing, expense billing, or PSA-specific features. Moving from BigTime to Jira is a structural migration from PSA to project management. We migrate Projects, Tasks, Team Members, Time Entries, and Expenses as Jira Projects, Issues, Users, and Worklogs. BigTime's two-level task hierarchy is flattened into Jira's Epic-Story-Task-Subtask model, and budget variance data is preserved as custom fields. Invoice records and billable rate schedules cannot migrate because Jira has no invoicing object. Workflows, automations, QuickBooks integration configs, and Data Warehouse credentials do not migrate; we provide a written inventory for the customer's admin to rebuild in Jira or a replacement billing tool.
Every standard and custom field arrives verified.
AI proposes the map; you confirm before any record moves.
Parent–child, lookups, and ownership stay linked.
Calls, emails, meetings — with original timestamps.
Documents, uploads, and inline notes move with the record.
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a BigTime object lands in Jira, including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
BigTime
Project
Jira
Jira Project
1:1BigTime Projects map to Jira Projects as the top-level organizing entity. Project name, status (Active/Archived), start and finish dates, budget amounts, and client assignment all transfer. We map BigTime's Active/Archived status to Jira Project's archived flag and preserve the client assignment in the Jira Project description or a custom Project field. Jira Project Key (the prefix for issue numbers) is auto-generated or customer-specified during provisioning. Note: Jira has no native billing or WIP fields on Projects—budget and financial fields are migrated as custom number fields.
BigTime
Client
Jira
Jira Organization
1:1BigTime Clients map to Jira Organizations (available on Jira Premium and Standard). Client name, primary contact, phone, email, billing address, and payment terms transfer as Organization fields. Jira Organizations support linking to multiple Projects, which mirrors BigTime's ability to assign a Client to multiple Projects. Where the destination Jira plan does not include Organizations, we embed client contact details in a custom field on the linked Project.
BigTime
Task (parent)
Jira
Jira Epic or Story
1:manyBigTime Tasks at the parent level can map to Jira Epic or Jira Story depending on the customer's intended agile structure. During scoping, we determine whether the BigTime project uses a flat task list or a hierarchical WBS. If the customer plans to use Jira Scrum, parent tasks become Epics and child tasks become Stories. If they use Jira Kanban, all tasks become Issues in a single board. BigTime's task-level budget allocation maps to Jira Story points or a custom field.
BigTime
Task (child/subtask)
Jira
Jira Story, Task, or Subtask
1:1BigTime child Tasks map to Jira Stories, Tasks, or Subtasks based on the target project template selected during scoping. Because BigTime enforces only two hierarchy levels, every BigTime task that has a parent is a direct child with no further nesting. Jira supports unlimited nesting, but the source data has no depth to preserve. We flag any tasks with no parent for review—they may be orphaned records that should attach to a project-level Epic.
BigTime
Team Member
Jira
Jira User
1:1BigTime Staff records (name, email, role, department, billable rate, cost rate) map to Jira User accounts. We match by email as the dedupe key. Any BigTime Staff record without a matching Jira User goes to a reconciliation queue for the customer's Jira admin to provision before record migration. Billable rate and cost rate are stored as custom number fields on the Jira User profile since Jira has no native labor rate concept.
BigTime
Time Entry
Jira
Jira Issue Worklog
1:1BigTime Time Entries (project, task, staff, date, hours, billable/non-billable flag) migrate as Jira Worklog entries linked to the corresponding Jira Issue. The billable/non-billable flag transfers as a custom Jira field since worklogs have no native billing-status attribute. We set Worklog started and time spent directly from the BigTime time entry timestamp and duration. Already-invoiced time entries are flagged with a custom status field indicating they were billed in BigTime.
BigTime
Expense
Jira
Jira Issue Attachment + Label
1:1BigTime Expense records (project association, expense code, amount, date, vendor, receipt reference) migrate as Jira Issue attachments (receipt metadata) and Jira Labels (expense code mapping). The expense amount and vendor transfer as custom fields on the Jira Issue. Expense codes from BigTime become Jira Labels so teams can filter and report on expense categories across projects. Receipt files migrate as Jira attachments on the linked Issue.
BigTime
Resource Allocation
Jira
Jira Component or Assignee Field
lossyBigTime staff assignments to projects with scheduled hours map to Jira Components (team-level) or Assignee fields on Issues. Where BigTime uses role-based scheduling (assigning a role like 'Developer' to a project), we map to Jira Component with a role label, and the customer's admin assigns specific users to the Component after migration. We do not map BigTime capacity planning to Jira Sprint capacity without additional scoping for sprint-based resource management.
BigTime
Custom Fields (Projects)
Jira
Jira Custom Fields
lossyBigTime Project Custom Fields (text, dropdown, checkbox, monetary, URL) migrate to Jira Custom Fields of equivalent type. We pre-create the Jira custom field schema before migration, including context assignment to the relevant Jira Project and Issue Type. Jira Cloud enforces required-field constraints that may differ from BigTime's custom field validation—we flag any null values in required Jira fields for manual resolution before migration.
BigTime
Budget vs. Actual (Scheduled vs. Actual Report)
Jira
Jira Custom Fields + Linked Dataset
1:1BigTime's Scheduled vs. Actual report captures planned hours, cost, and revenue against tracked values. We migrate these as a linked dataset: the planned values become Jira Project-level custom number fields (budget_hours, budget_cost, budget_revenue), and the actual values come from migrated time entries and expenses. Variance calculations are stored as computed custom fields or delivered as a CSV companion file. Jira has no native budget tracking—these fields require a Jira reporting app or BI tool for variance dashboards.
BigTime
Invoice (historical, sent/paid)
Jira
Written data map only—no Jira equivalent
1:1Sent and paid invoices in BigTime cannot migrate to Jira because Jira has no invoice, billing, or accounts receivable object. We export all sent and paid invoice records (invoice number, client, date, line items, amounts, status) as a structured CSV and JSON data package with a field mapping to any destination billing tool the customer selects post-migration. The customer or their accounting team performs the final import into QuickBooks, FreshBooks, or another billing platform.
BigTime
Invoice (draft)
Jira
Written data map with explicit status flag
1:1Unsent invoice drafts in BigTime carry a risk of premature billing if imported as open records in a new system. We tag all migrated draft invoices with a source-status flag (draft) in the data map, set the status as Closed on any temporary staging import, and explicitly note in the handoff document that these records require billing-cycle confirmation before activation in any replacement tool.
| BigTime | Jira | Compatibility | |
|---|---|---|---|
| Project | Jira Project1:1 | Fully supported | |
| Client | Jira Organization1:1 | Fully supported | |
| Task (parent) | Jira Epic or Story1:many | Fully supported | |
| Task (child/subtask) | Jira Story, Task, or Subtask1:1 | Fully supported | |
| Team Member | Jira User1:1 | Fully supported | |
| Time Entry | Jira Issue Worklog1:1 | Fully supported | |
| Expense | Jira Issue Attachment + Label1:1 | Fully supported | |
| Resource Allocation | Jira Component or Assignee Fieldlossy | Fully supported | |
| Custom Fields (Projects) | Jira Custom Fieldslossy | Mapping required | |
| Budget vs. Actual (Scheduled vs. Actual Report) | Jira Custom Fields + Linked Dataset1:1 | Fully supported | |
| Invoice (historical, sent/paid) | Written data map only—no Jira equivalent1:1 | Fully supported | |
| Invoice (draft) | Written data map with explicit status flag1:1 | Fully supported |
Gotchas + challenges
Platform-specific issues from each side, plus the pair-specific challenges that don't show up on either platform's page on its own.
BigTime gotchas
No trial period before purchase
Mobile app time entries are unreliable
Task hierarchy limited to two levels
Invoice drafts require explicit closed-status migration
Data Warehouse Delta Sharing is a one-time credential download
Jira gotchas
Unsupported workflow validators silently skipped during migration
Custom fields converted to flat text labels when migrating to non-Jira platforms
Historical status-change timestamps lost when exporting without a Marketplace plugin
Attachment import failures from oversized files and JQL reference corruption
Points-based API rate limits enforced on Jira Cloud apps from March 2026
Pair-specific challenges
Migration approach
Discovery and data audit
We audit the source BigTime account across all active Projects, Tasks (with hierarchy depth analysis), Team Members, Clients, Time Entries (volume and date range), Expenses, Custom Fields, and Resource Allocations. We identify Active versus Archived records and flag any data gaps attributable to the mobile app reliability issues (crash-prone entries that may be missing from the source). We review the BigTime Scheduled vs. Actual reports for budget variance data and extract a full record count by object type. The discovery output is a written migration scope with record counts, a dependency graph, and a Jira edition recommendation (Standard at $9/user or Premium at $17/user with advanced roadmapping).
Schema design and Jira configuration
We design the destination Jira schema including Projects (one per BigTime Project or consolidated by client), Issue Type schemes (Epic-Story-Task-Subtask), Custom Fields (matching BigTime Project Custom Field types), Jira Labels for expense codes, and project roles mapped from BigTime staff roles. We pre-create Jira Projects and custom fields in a Sandbox environment first for validation. The task flattening map (for any BigTime task depth exceeding two levels) is reviewed and approved by the customer's project manager before any production work begins.
Sandbox migration and reconciliation
We run a full migration into a Jira Sandbox using production-like record volumes. The customer's project lead reviews a random sample of 25-50 migrated Issues, verifying task hierarchy, assignee mapping, worklog entries, and budget field values against the BigTime source. Any mapping corrections—particularly the parent-child flattening and Jira Issue Type assignments—are documented and applied before production migration begins. This step prevents rework in the production environment and reduces the risk of a second cutover.
Owner reconciliation and Jira user provisioning
We extract every distinct BigTime Team Member referenced on Projects, Tasks, Time Entries, and Resource Allocations and match by email against the destination Jira site's User table. Any BigTime Staff record without a matching Jira User is added to a reconciliation report. The customer's Jira admin provisions any missing Jira Users before the production migration phase begins. Migration of Issues cannot proceed past this step because Jira requires a valid Assignee for each Issue.
Production migration in dependency order
We run production migration in record-dependency order: Jira Users (validated), Jira Organizations (from BigTime Clients), Jira Projects (from BigTime Projects with budget fields), Jira Issues (Tasks, Stories, Epics with parent-key resolution), Jira Worklogs (from BigTime Time Entries with billable flag), Jira Labels (from BigTime expense codes), and Custom Fields throughout. Each phase emits a row-count reconciliation report. Any records rejected due to Jira field constraints are logged, corrected, and retried in the same migration window. Invoice data is exported as a structured data package separately from the Jira migration.
Cutover, validation, and handoff
We freeze BigTime write access during cutover, run a final delta migration of any records modified during the migration window, then enable Jira as the system of record. We deliver the full migration report including record counts by object, rejection log, and the invoice data export package. We deliver a written inventory of BigTime Workflows, automations, and QuickBooks sync rules requiring rebuild in Jira Automation or a separate billing tool. We provide a one-week hypercare window for reconciliation issues. We do not rebuild BigTime Workflows as Jira Automation rules inside the migration scope; that is a separate engagement or an internal admin task.
Platform deep dives
BigTime
Source
Strengths
Weaknesses
Jira
Destination
Strengths
Weaknesses
Complexity grading
Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across BigTime and Jira.
Object compatibility
3 of 8 objects need a mapping; the rest are 1:1.
Field mapping clarity
Field mapping is derived from defaults — final spec confirmed during the sample migration.
Timeline complexity
8-object category — typical timelines run 2–7 days end-to-end.
API constraints
BigTime: Not publicly documented in the help center or public API docs.
Data volume sensitivity
BigTime doesn't expose a bulk API — REST + parallelization used for high-volume runs.
Estimator
Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.
Step 1
Pick a category, then your source and destination platforms.
Category
FAQ
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