Project Management migration
Field-level mapping, validation, and rollback between SMART Project Control and Jira. We move data and schema; workflows are rebuilt natively in Jira.
SMART Project Control
Source
Jira
Destination
Compatibility
7 of 12
objects map 1:1 between SMART Project Control and Jira.
Complexity
BStandard
Timeline
3-5 weeks
Overview
Moving from SMART Project Control to Jira is a directional shift from schedule-critical project controls to agile-aligned work tracking. SMART Project Control is built for industries where critical path method, earned value management, and S-curve forecasting are contractual and compliance requirements; Jira treats scheduling as a derived property of sprint planning rather than a primary data model. We handle the extraction from Oracle Cloud using Functional Setup Manager exports or direct BI export, re-parent Programs and Portfolios into Jira projects, and convert the WBS hierarchy into Jira Epics, Stories, and Subtasks. Baseline snapshots migrate as static schedule copies; critical path and float values do not calculate natively in Jira and are flagged for manual validation post-cutover. Cost breakdown structures map to Jira custom fields or linked Assets objects depending on the destination plan tier. Jira automations, Scrum boards, and Confluence-linked documentation do not migrate as code; we deliver a written inventory for your admin to rebuild.
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 SMART Project Control 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.
SMART Project Control
Program
Jira
Jira Project (top-level)
many:1SMART Project Control Programs act as top-level grouping containers for related Projects. We map each Program to a single Jira Project, and nest the source Projects as Jira Epics or as separate Jira Projects within the same project key family depending on the customer's visibility requirements. Programs with rollup reporting needs are re-parented to Jira project folders or to a Confluence page hierarchy for documentation linkage since Jira has no native Program object.
SMART Project Control
Project
Jira
Jira Project
1:1Projects migrate 1:1 to Jira Projects with core attributes preserved: Project Name, Project Key (we generate a key from the source name, validated for uniqueness), start date mapped to the Jira Project creation date, and status (Active, On Hold, Completed) mapped to Jira Project archived state. Project-level custom fields migrate to Jira Project properties or to a custom Jira Project configuration page.
SMART Project Control
Activity
Jira
Epic, Story, Task, or Subtask
1:manyActivities are the core scheduling unit and map across Jira issue types based on WBS level and hierarchy depth. Top-tier WBS activities map to Jira Epics; mid-tier activities map to Stories; lower-tier activities map to Tasks; and leaf-node activities map to Subtasks. Activity fields including Name, Start Date, Finish Date, Duration, and Calendar migrate to Jira fields (Summary, Due Date, Assignee, Labels). Predecessor and successor relationships migrate as Jira Issue Links (Blocks / Is blocked by / Depends on).
SMART Project Control
Baseline
Jira
Fix Version + Labels
lossySMART Project Control Baselines store the approved schedule snapshot and are referenced by EV calculations. Jira has no native baseline object. We migrate the latest approved baseline as a Jira Fix Version named with the baseline date, and apply it to all issues that existed at baseline time. The source baseline schedule data is preserved in a custom field baseline_snapshot__c as a JSON reference for audit. We flag EV metrics (PV, EV, SV) as requiring manual recalculation in Jira's reporting layer.
SMART Project Control
WBS Element
Jira
Epic hierarchy + Labels
1:1Work Breakdown Structure elements define hierarchical accountability and cost coding accountability in SMART Project Control. We flatten multi-level WBS into Jira's three-tier Epic > Story > Task structure and tag each migrated issue with WBS path labels (e.g., WBS-1.2.3) in a custom Label field for traceability. Cost account assignments on WBS elements migrate to Jira custom fields linked to the Cost Breakdown Structure mapping.
SMART Project Control
Resource
Jira
Jira User + Project Role
1:1Labor, material, and equipment Resources — including roles, rates, and unit-of-measure — migrate as named Jira Users and Project Role assignments. We resolve each SMART Resource to a Jira user by email match; any resource without a Jira user is held in a reconciliation queue. Resource rates and capacity data migrate to a custom Resource__c object or to Jira Assets object types if the destination is Jira Service Management-linked.
SMART Project Control
Resource Assignment
Jira
Issue Assignee + Worklog
1:1Resource-to-Activity assignments in SMART Project Control map to Jira Issue Assignee. Planned hours from the assignment migrate to the Jira issue's Original Estimate (or Story Points if the customer prefers an estimation-based model). Actual work logged against activities migrates to Jira Worklog entries with the SMART-recorded hours and date.
SMART Project Control
Cost Breakdown Structure
Jira
Jira Custom Fields + Assets Object
1:1Cost CBS levels and cost accounts map to Jira custom fields on the migrated issues. We create custom fields cbs_level_1__c through cbs_level_3__c as text or picklist fields, and cost amounts migrate to a custom field cost_amount__c. Time-phased cost distributions (weekly or monthly budget buckets) migrate as Jira project-level custom records or as rows in a linked Jira Assets Object Schema if the customer licenses Assets. Jira does not natively calculate earned value from cost data.
SMART Project Control
S-Curve / Progress Curve
Jira
Jira Project Dashboard Gadgets
1:1Cumulative S-curves and progress curves are time-phased data rows per project. We convert them to Jira Dashboard gadgets (Burndown or Cumulative Flow diagram using the source curve as a reference data table) and tag the corresponding issues with the percentage-complete value in a custom field pct_complete__c. The raw time-phased data is delivered as a CSV attached to the Jira Project for manual chart rebuilding in Confluence if needed.
SMART Project Control
Custom Activity Fields
Jira
Jira Custom Fields
1:1Custom activity, project, and resource fields are exported with their current values and field types. We create equivalent Jira custom fields with matching types (text, date, number, picklist) and apply them to the relevant issue types' screens before migration. Picklist values require explicit mapping instructions from the customer to ensure option sets match between Oracle Cloud and Jira. Jira's field context model means custom fields are scoped per project by default; we configure project-level contexts during migration.
SMART Project Control
Critical Path and Float
Jira
Issue Links + Labels
lossyCritical path activities and float values are preserved as Jira Labels (Critical_Path label applied to critical path issues) and as custom number fields float_days__c and critical_path_flag__c. Jira does not calculate critical path natively post-import. We document the exported critical path chain so the customer's project controls team can re-verify the path after any Jira issue date changes. This is a manual post-migration validation step, not an automated calculation.
SMART Project Control
Bottleneck Alerts
Jira
Jira Automation Rules
lossySMART Project Control bottleneck alerting rules generate notifications when activities approach or exceed schedule thresholds. Jira Automation for Cloud (or Data Center Automation) provides an equivalent trigger-and-action model. We deliver a written inventory of each source alerting rule with its trigger condition, threshold, and notification action, mapped to the equivalent Jira Automation rule for the customer's admin to rebuild post-migration. We do not rebuild Jira Automations as part of standard migration scope.
| SMART Project Control | Jira | Compatibility | |
|---|---|---|---|
| Program | Jira Project (top-level)many:1 | Fully supported | |
| Project | Jira Project1:1 | Fully supported | |
| Activity | Epic, Story, Task, or Subtask1:many | Fully supported | |
| Baseline | Fix Version + Labelslossy | Fully supported | |
| WBS Element | Epic hierarchy + Labels1:1 | Fully supported | |
| Resource | Jira User + Project Role1:1 | Fully supported | |
| Resource Assignment | Issue Assignee + Worklog1:1 | Fully supported | |
| Cost Breakdown Structure | Jira Custom Fields + Assets Object1:1 | Mapping required | |
| S-Curve / Progress Curve | Jira Project Dashboard Gadgets1:1 | Fully supported | |
| Custom Activity Fields | Jira Custom Fields1:1 | Fully supported | |
| Critical Path and Float | Issue Links + Labelslossy | Mapping required | |
| Bottleneck Alerts | Jira Automation Ruleslossy | 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.
SMART Project Control gotchas
No publicly documented migration or export API
Offering-scoped exports block multi-offering implementations
Earned Value metrics require manual recalculation post-migrate
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
Oracle Cloud extraction scoping
We begin by auditing the SMART Project Control Oracle Cloud instance: identifying offering scope, listing Projects, Activities, Resources, Baselines, WBS hierarchies, CBS structures, and custom field definitions. We assess the available export path (FSM configuration package, BI publisher export, or direct DB export) and identify any role provisioning required. This phase produces a written extraction plan specifying the export format, file structure, and any Oracle-side preparation tasks the customer must complete before data handover.
Jira destination configuration
We set up the Jira destination environment: creating Jira Projects with validated project keys, configuring custom fields (CBS levels, float values, EV reference fields, percentage complete), building the issue type scheme mapped to the WBS hierarchy, setting up Issue Link types (Blocks, Depends on, Is blocked by) for predecessor-successor relationships, and configuring Jira Automation triggers as a written handoff inventory. If Jira Assets is available on the destination plan, we configure the object schema for cost and resource data.
Activity hierarchy flattening
We transform the SMART WBS hierarchy into Jira's Epic > Story > Task > Subtask structure. Top-level WBS elements become Epics; mid-level become Stories; lower-level become Tasks and Subtasks. Predecessor-successor relationships become Jira Issue Links. We apply the critical path label to critical chain activities and write float values to the float_days__c custom field. Baseline snapshots are applied as Fix Versions to the relevant issues with a baseline_snapshot__c reference field. This phase produces a reconciliation report comparing WBS depth in SMART against Jira issue type distribution.
Cost and resource data migration
We migrate CBS cost codes to Jira custom fields and time-phased budget data to Jira Assets objects (if licensed) or to project-level custom records. Resource assignments become Jira Assignee values and Worklog entries. Resource pool definitions migrate as Jira Users and Project Roles, with unmatched resources flagged in the reconciliation queue. S-curve data is delivered as CSV attached to the Jira Project and converted to Jira Dashboard reference data for manual burndown chart rebuild.
Sandbox import and reconciliation
We run a full import into a Jira Sandbox (Jira Cloud sandbox or Data Center dev environment) using production-like data volume. The customer's project management lead reconciles issue counts by type, spot-checks 25-50 issues against source data, validates date accuracy on a random sample of migrated activities, and confirms that predecessor-successor links resolved correctly. Any mapping corrections are applied before production migration. Baseline fidelity and custom field completeness are validated at this stage.
Production migration and cutover
We freeze SMART Project Control writes during the cutover window, run a final delta export of any records modified since the sandbox migration, import the delta into Jira, and validate the complete Jira dataset against the SMART source record counts. We enable Jira as the system of record and deliver the complete object inventory, custom field map, Jira Automation handoff document, and critical path validation guide to the customer's project management team. We do not rebuild Jira Automations, Confluence documentation, or Jira Service Management configurations as part of standard migration scope.
Platform deep dives
SMART Project Control
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 SMART Project Control 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
SMART Project Control: Not publicly documented.
Data volume sensitivity
SMART Project Control 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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