Project Management migration

Migrate from SMART Project Control to Jira

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 logo

SMART Project Control

Source

Jira

Destination

Jira logo

Compatibility

58%

7 of 12

objects map 1:1 between SMART Project Control and Jira.

Complexity

BStandard

Timeline

3-5 weeks

Rollback included Accuracy guarantee Field-level validation

Overview

What this migration involves

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.

Field-level fidelity

Every standard and custom field arrives verified.

Schema-aware mapping

AI proposes the map; you confirm before any record moves.

Relationships preserved

Parent–child, lookups, and ownership stay linked.

Full activity history

Calls, emails, meetings — with original timestamps.

Attachments & notes

Documents, uploads, and inline notes move with the record.

Why teams make this switch

Two sides of the same decision

Leaving

SMART Project Control logo

SMART Project Control

What's pushing teams away

  • SmartPM is an analytics overlay, not a scheduling engine — teams that want to do the actual CPM planning inside one tool still need P6, MS Project, Asta, or Phoenix and end up evaluating integrated all-in-one alternatives.
  • Verticalized to commercial construction — non-construction project portfolios get little value from the construction-specific metrics (SPI, compression, critical path delays in CPM terms).
  • $12K-$25K annual pricing is fair for portfolios of 50+ projects but expensive for small contractors with under 10 active jobs.
  • Schedule data must come from one of the supported scheduling tools — teams running niche or in-house scheduling engines have no clean ingest path.
  • Smaller market presence than Oracle Primavera Unifier or Procore — buyers comparing against enterprise PM suites face fewer reference customers and a thinner ecosystem.

Choosing

Jira logo

Jira

What's pulling them in

  • Industry-standard tool with deep Git integration and sprint reporting that engineering teams already know, reducing onboarding friction for new hires.
  • Highly customizable workflows and status schemes let business teams model complex approval chains without writing code.
  • Strong ecosystem of Atlassian Marketplace apps means specialized capabilities like time tracking or portfolio management are one install away.
  • Free tier with up to 10 users and unlimited issues gives small teams a no-cost entry point to validate the platform before committing budget.
  • Visibility features — boards, backlog grooming, sprint reports, and dashboards — give leadership a shared view of what is planned, in progress, blocked, and done.

Object mapping

How SMART Project Control objects map to Jira

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

maps to

Jira

Jira Project (top-level)

many:1
Fully supported

SMART 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

maps to

Jira

Jira Project

1:1
Fully supported

Projects 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

maps to

Jira

Epic, Story, Task, or Subtask

1:many
Fully supported

Activities 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

maps to

Jira

Fix Version + Labels

lossy
Fully supported

SMART 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

maps to

Jira

Epic hierarchy + Labels

1:1
Fully supported

Work 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

maps to

Jira

Jira User + Project Role

1:1
Fully supported

Labor, 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

maps to

Jira

Issue Assignee + Worklog

1:1
Fully supported

Resource-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

maps to

Jira

Jira Custom Fields + Assets Object

1:1
Mapping required

Cost 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

maps to

Jira

Jira Project Dashboard Gadgets

1:1
Fully supported

Cumulative 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

maps to

Jira

Jira Custom Fields

1:1
Fully supported

Custom 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

maps to

Jira

Issue Links + Labels

lossy
Mapping required

Critical 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

maps to

Jira

Jira Automation Rules

lossy
Fully supported

SMART 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.

Gotchas + challenges

What specifically takes care here

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 logo

SMART Project Control gotchas

High

No publicly documented migration or export API

Medium

Offering-scoped exports block multi-offering implementations

Medium

Earned Value metrics require manual recalculation post-migrate

Jira logo

Jira gotchas

High

Unsupported workflow validators silently skipped during migration

High

Custom fields converted to flat text labels when migrating to non-Jira platforms

Medium

Historical status-change timestamps lost when exporting without a Marketplace plugin

Medium

Attachment import failures from oversized files and JQL reference corruption

Medium

Points-based API rate limits enforced on Jira Cloud apps from March 2026

Pair-specific challenges

  • SMART Project Control has no public export API

    SMART Project Control runs on Oracle Cloud and does not publish a public REST or bulk export API. Data extraction relies on the Functional Setup Manager (FSM) configuration package export, which requires implementation project access and offering-level scoping. Implementations with multiple Oracle offerings must generate separate export packages per offering. If direct DB or BI export is used as a fallback, the customer must provision the necessary database roles before scoping begins. We flag these provisioning requirements at discovery and factor the additional preparation time into the project timeline.

  • Critical path and float do not calculate natively in Jira

    Jira does not have a built-in critical path method engine. Predecessor-successor links migrate as Jira Issue Links, but Jira derives scheduling from sprint assignments and due dates rather than from network logic. Critical path activities, float values, and lag calculations from SMART Project Control must be stored as static custom fields and re-validated manually after any schedule changes in Jira. We flag all critical path activities explicitly and preserve the float data in float_days__c for manual reference, but Jira's reporting does not recalculate them automatically.

  • Earned Value metrics require manual recalculation post-migrate

    Earned Value planned value, earned value, and schedule variance are often stored as derived metrics rather than raw fields in SMART Project Control. When migrating to Jira, which has no native EV calculation engine, we preserve the source EV values as static reference fields on the migrated issues. However, any subsequent progress updates in Jira do not automatically update EV. We flag these fields during migration and deliver a written EV recalculation procedure for the customer's project controls team to validate post-cutover.

  • Jira custom fields require screen association before data lands

    Jira's field model requires custom fields to be explicitly associated with screens (Create, Edit, View) and with the correct issue types before data can be set via the API. If a custom field exists in Jira but is not on the relevant issue's screens, the import silently skips setting the value. We configure all screen associations during migration preparation, but any late-added custom fields require manual screen re-association before their values will appear on migrated issues. We document the full field-to-screen map in the migration handoff.

Migration approach

Six steps for a successful SMART Project Control to Jira data migration

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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

Context on both ends of the pair

SMART Project Control logo

SMART Project Control

Source

Strengths

  • Purpose-built for schedule-critical industries with integrated critical path method calculations
  • Groups work under Programs and Portfolios for enterprise-wide visibility and rollup reporting
  • Supports baseline management for schedule change tracking and earned value analysis
  • Provides forecasting and bottleneck alerting to surface delays before they cascade
  • Integrates with Oracle Cloud infrastructure for enterprise SSO and role-based access control

Weaknesses

  • No public REST or bulk export API — data extraction depends on Oracle's Functional Setup Manager framework
  • Limited community presence and few independent reviews, making feature verification harder pre-migration
  • Primarily Oracle Cloud-centric — self-hosted or hybrid deployments have fewer migration tool options
  • Custom field and CBS structure variations between implementations require bespoke mapping work
  • Steep learning curve for teams without prior project controls or Primavera-style scheduling experience
Jira logo

Jira

Destination

Strengths

  • Deeply customizable workflows and status schemes with no hard limits on workflow complexity or number of custom statuses.
  • Strong agile ceremony support: sprint planning, backlog grooming, velocity tracking, and burndown charts for Scrum teams.
  • Industry-standard developer tool with native Git integration linking commits, pull requests, and deployments to issues.
  • Large Atlassian Marketplace with thousands of plugins extending time tracking, portfolio management, and reporting capabilities.
  • Free tier available for up to 10 users with unlimited issues, enabling evaluation before committing to a paid plan.

Weaknesses

  • Excessive configurability creates a steep learning curve; cross-team consistency is hard to maintain without strict governance.
  • Performance degrades with large backlogs, complex custom fields, and heavily nested issue hierarchies.
  • Reporting requires additional configuration or paid plugins; out-of-the-box analytics are limited for business users.
  • Jira lacks native sprint management, requiring Jira Software for true agile team features.
  • Teams outside engineering resist adoption due to UI complexity, leaving the all-in-one promise unfulfilled for cross-functional organizations.

Complexity grading

How hard is this migration?

Standard Project Management migration. 3 of 8 objects need a mapping; the rest are 1:1.

B

Overall complexity

Standard migration

Derived from compatibility, mapping clarity, API constraints, and data volume across SMART Project Control and Jira.

  • Object compatibility

    B

    3 of 8 objects need a mapping; the rest are 1:1.

  • Field mapping clarity

    C

    Field mapping is derived from defaults — final spec confirmed during the sample migration.

  • Timeline complexity

    B

    8-object category — typical timelines run 2–7 days end-to-end.

  • API constraints

    B

    SMART Project Control: Not publicly documented.

  • Data volume sensitivity

    B

    SMART Project Control doesn't expose a bulk API — REST + parallelization used for high-volume runs.

Estimator

Estimate your SMART Project Control to Jira migration cost

Rule-based pricing — no per-record fees, no manual quotes. Migrations over 2M records are scoped individually.

Step 1

What are you migrating?

Pick a category, then your source and destination platforms.

Category

FAQ

Frequently asked questions about SMART Project Control to Jira data migrations

Answers to the questions buyers ask most during SMART Project Control to Jira migration scoping. Not seeing yours? Book a call.

Can't find your answer?

Walk through your SMART Project Control to Jira migration with a real engineer — 30 minutes, free, written quote within 24 hours.

Book a free 30 minute consultation

Small migrations under 20 projects and 5,000 activities with a single Oracle Cloud offering typically complete in three to five weeks. Mid-size migrations with multiple offerings, deep WBS hierarchies requiring flattening to Jira's three-tier structure, CBS cost mapping, and S-curve data preparation move to eight to twelve weeks. The Oracle Cloud extraction preparation — role provisioning and FSM export package generation — adds a pre-migration preparation step that can extend discovery by one to two weeks depending on the customer's Oracle access governance.

Adjacent paths

Related migrations to explore

Ready when you are

Move from SMART Project Control.
Land in Jira, intact.

Tell us record counts and timeline. We'll come back with a written quote inside 1 business day — no commitment, no sales pitch.

Accuracy guarantee Rollback included Quote in 1 business day