CRM migration
Field-level mapping, validation, and rollback between Oracle Siebel and Microsoft Dynamics 365 Sales . We move data and schema; workflows are rebuilt natively in Microsoft Dynamics 365 Sales .
Oracle Siebel
Source
Microsoft Dynamics 365 Sales
Destination
Compatibility
10 of 12
objects map 1:1 between Oracle Siebel and Microsoft Dynamics 365 Sales .
Complexity
BStandard
Timeline
4-8 weeks
Overview
Moving from Oracle Siebel to Microsoft Microsoft Dynamics 365 Sales is a schema translation that requires resolving Siebel's party-based architecture against Dynamics 365's Account-Contact model before any data moves. Siebel stores both Organizations and Contacts as subtypes of S_PARTY; Microsoft Dynamics 365 Sales treats Accounts and Contacts as independent entities with a Lookup relationship. We sequence S_PARTY extraction as the first migration pass, resolve foreign keys to child S_ORG_EXT and S_CONTACT records, and map the Quote-to-Order linkage across platforms. Siebel's 30 req/min REST API rate limit constrains bulk extraction throughput, which we mitigate through parallel session threads and combined-field requests. Siebel Workflow Processes, EAI adapters, and Siebel Tools SRF artifacts do not migrate; we deliver a written inventory of every active workflow and integration endpoint for the customer's admin to rebuild in Microsoft Dynamics 365 Sales .
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.
Source platform
Oracle Siebel platform overview
Scorecard, SWOT, gotchas, and pricing for Oracle Siebel.
Destination platform
Microsoft Dynamics 365 Sales platform overview
Scorecard, SWOT, gotchas, and pricing for Microsoft Dynamics 365 Sales .
Data migration guide
The complete Microsoft Dynamics 365 Sales migration guide
Data model, import mechanisms, field mapping strategy, pitfalls, and cutover — by the engineers running it.
Destination checklist
Microsoft Dynamics 365 Sales migration checklist
Pre- and post-cutover tasks for moving onto Microsoft Dynamics 365 Sales .
Why teams make this switch
Leaving
What's pushing teams away
Choosing
What's pulling them in
Object mapping
Each row shows how a Oracle Siebel object lands in Microsoft Dynamics 365 Sales , including any object-level transformations, lookup resolution, or schema-design dependencies.
Typical mapping — final map is confirmed during the sample migration step.
Oracle Siebel
S_PARTY (base table)
Microsoft Dynamics 365 Sales
Account and Contact (root resolution)
1:1Siebel's party-based architecture requires S_PARTY as the migration root. Every Account (S_ORG_EXT) and Contact (S_CONTACT) record carries a PARTY_ID foreign key pointing to a parent S_PARTY row. We extract S_PARTY records first, then S_ORG_EXT and S_CONTACT in the second pass, resolving the PARTY_ID to Account or Contact in Dynamics 365. Skipping this sequencing causes foreign-key violations at import time.
Oracle Siebel
Account (S_ORG_EXT)
Microsoft Dynamics 365 Sales
Account
1:1Siebel Accounts map directly to Dynamics 365 Account. The S_ORG_EXT row ID is preserved as a reference field for audit, and the Organization Name becomes Account Name. Siebel's Organization type, industry, and territory fields map to standard Account fields or custom fields configured in the destination org before migration.
Oracle Siebel
Contact (S_CONTACT)
Microsoft Dynamics 365 Sales
Contact
1:1Siebel Contacts map to Dynamics 365 Contact with a Lookup to the parent Account resolved via the S_PARTY PARTY_ID cross-reference. Each Contact's email address is used as the primary dedupe key during import. Contact job title, phone, and address fields migrate to standard Contact fields. Siebel's position-based access control does not map to Dynamics field-level security; we document the Siebel Position hierarchy for the admin to re-implement via Teams or Security Roles in Dynamics.
Oracle Siebel
Opportunity
Microsoft Dynamics 365 Sales
Opportunity
1:1Siebel Opportunities map to Dynamics 365 Opportunity. Pipeline stage, revenue amount, probability, and close date transfer directly. The Opportunity-to-Account link is resolved at migration time using the Account PARTY_ID cross-reference. Siebel's multi-phase revenue tracking migrates as custom fields if the destination Dynamics org is configured for weighted revenue.
Oracle Siebel
Quote (S_DOC_QUOTE)
Microsoft Dynamics 365 Sales
Quote
1:1Siebel Quotes map to Microsoft Dynamics 365 Sales Quote. Quote header fields (name, status, expiration date, total amount) migrate to standard Quote fields. Quote line items migrate to Quote Product records linked via the Product2 lookup. The Quote-to-Order linkage in Siebel (S_DOC_QUOTE to S_ORDER) requires manual configuration in Dynamics 365 to associate the migrated Order with the migrated Quote.
Oracle Siebel
Order (S_ORDER)
Microsoft Dynamics 365 Sales
Order
1:1Siebel Orders map to Microsoft Dynamics 365 Sales Order. Order header fields (order number, status, date, total) migrate to standard Order fields. Order line items (S_ORDER_ITEM) migrate to Order Products. Document attachments stored in S_ORDER_DOC and S_ORDR_DOC_LIT migrate as SharePoint files attached to the Order record via the Dynamics 365 SharePoint integration.
Oracle Siebel
Case (Service Request)
Microsoft Dynamics 365 Sales
Case
1:1Siebel Service Cases map to Dynamics 365 Case. Case status, priority, assigned employee, and related activity logs transfer to standard Case fields. Custom escalation fields from Siebel extension tables migrate to custom Case fields. Case-to-Contact and Case-to-Account lookups are resolved using the S_PARTY PARTY_ID cross-reference at migration time.
Oracle Siebel
Activity (Task and Event)
Microsoft Dynamics 365 Sales
Task and Event
1:1Siebel Activities map to Dynamics 365 Task and Event based on activity type. Call, email, meeting, and task engagements transfer to Task (with TaskSubtype set for calls) or Event records with ActivityDate preserved for timeline ordering. Owner assignment migrates by resolving the Siebel Position/Employee to a Dynamics 365 User by email match. Activity-to-Contact and Activity-to-Account lookups resolve via the S_PARTY cross-reference.
Oracle Siebel
Literature (S_LIT)
Microsoft Dynamics 365 Sales
SharePoint Document Library
lossySiebel Literature records (S_LIT) store metadata and a file system path reference to the binary document. The database export does not include the files themselves. We extract the S_LIT path list, package the corresponding files from the Siebel File System, and deliver them alongside the migration for re-upload into a Dynamics 365 SharePoint document library linked to the appropriate Account, Contact, or Opportunity record.
Oracle Siebel
Asset (S_ASSET)
Microsoft Dynamics 365 Sales
Product (Asset Entity)
1:1Siebel Assets (S_ASSET) represent installed products or financial holdings linked to an Account. We migrate the asset record with its name, quantity, status, and Account relationship. In Dynamics 365, assets can be represented using the native Asset (msdyn_asset) entity available in the Field Service or Project Service Automation apps, or as custom Product records with a serial number field, depending on the customer's Dynamics edition.
Oracle Siebel
Custom Extension Tables (S_* EXTENSION)
Microsoft Dynamics 365 Sales
Custom Entities (__c)
1:1Siebel custom extension tables built atop the S_ base table pattern are migrated on a per-table basis. We export the extension table data, map foreign keys to parent S_PARTY or S_ORG_EXT records, and load into custom Dynamics 365 entities created before migration. Custom fields use the __c suffix per Dataverse naming convention. Each extension table requires a separate mapping pass because the schema is unique to the customer's Siebel configuration.
Oracle Siebel
Position (S_POSTN)
Microsoft Dynamics 365 Sales
Team and Security Role
lossySiebel Positions represent organizational roles and control record visibility through the Position-Employee assignment model. Positions migrate as structural data only; we extract the Position hierarchy and document it for the customer's admin to re-implement via Dynamics 365 Teams, Security Roles, and Sharing Rules. User-to-Position assignment maps to Dynamics 365 User-to-Team membership, which controls data access differently than Siebel's Position-based visibility model.
| Oracle Siebel | Microsoft Dynamics 365 Sales | Compatibility | |
|---|---|---|---|
| S_PARTY (base table) | Account and Contact (root resolution)1:1 | Fully supported | |
| Account (S_ORG_EXT) | Account1:1 | Fully supported | |
| Contact (S_CONTACT) | Contact1:1 | Fully supported | |
| Opportunity | Opportunity1:1 | Fully supported | |
| Quote (S_DOC_QUOTE) | Quote1:1 | Fully supported | |
| Order (S_ORDER) | Order1:1 | Fully supported | |
| Case (Service Request) | Case1:1 | Fully supported | |
| Activity (Task and Event) | Task and Event1:1 | Fully supported | |
| Literature (S_LIT) | SharePoint Document Librarylossy | Fully supported | |
| Asset (S_ASSET) | Product (Asset Entity)1:1 | Fully supported | |
| Custom Extension Tables (S_* EXTENSION) | Custom Entities (__c)1:1 | Fully supported | |
| Position (S_POSTN) | Team and Security Rolelossy | 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.
Oracle Siebel gotchas
Version gating for Siebel Cloud Manager OCI migration
S_PARTY base table requires parent-first migration sequencing
REST API 30 req/min rate limit throttles bulk extraction
Siebel Tools SRF compilation required after extension table changes
Literature files require separate file system export
Microsoft Dynamics 365 Sales gotchas
Professional tier 15-table custom table limit blocks migrations
October 2024 pricing increase applies at renewal for all customers
Custom fields must be created in the UI before API writes
Power Platform request limits apply to bulk migrations
Activity records orphaned to inactive owners fail silently
Pair-specific challenges
Migration approach
Discovery and version assessment
We audit the source Oracle Siebel environment: version number (to flag Siebel Cloud Manager availability for OCI-bound migrations), Siebel Tools repository state, active custom extension tables, S_PARTY row counts, and the REST API endpoint availability. We inventory all active Workflow Processes and EAI adapters that will require a rebuild handoff. We also assess the Microsoft Dynamics 365 Sales destination: edition (Professional or Enterprise), existing Dataverse entities, and any configured Security Roles or Teams that affect data access during migration. The discovery output is a written migration scope with S_PARTY dependency map, record counts per object, and a Dynamics edition recommendation.
Schema design and S_PARTY mapping
We design the destination Dynamics 365 schema before any data moves. This includes creating custom entities (__c) for Siebel extension tables, mapping S_PARTY PARTY_ID values to Account and Contact records with a reference crosswalk table, configuring Opportunity Record Types to match Siebel pipeline stages, and defining Security Roles that replicate the closest Siebel Position-based visibility model. The S_PARTY resolution logic is the most critical piece of this step because it determines the foreign-key integrity of every downstream import.
Sandbox migration and reconciliation
We run a full migration into a Dynamics 365 Sandbox environment using production-like data volumes. The customer's IT lead reconciles record counts (Accounts in, Contacts in, Opportunities in, Cases in, Activities in), spot-checks 25-50 records against the Siebel source for field accuracy, and validates that the S_PARTY cross-reference is intact (every Contact has a resolved AccountId). Any mapping corrections, HTML transformation gaps, or custom field type mismatches surface here. We do not proceed to production until the sandbox reconciliation is signed off.
Literature file extraction and packaging
We extract the S_LIT metadata table to capture all Literature record names, types, and file system path references. We package the corresponding binary files from the Siebel File System and deliver them as a file package alongside the structured migration data. In Dynamics 365, we configure a SharePoint document library linked to the Accounts and Opportunities entities and provide upload instructions for the customer's admin to re-associate the files post-migration.
Production migration in dependency order
We run production migration in record-dependency order: S_PARTY root records first, then Accounts (S_ORG_EXT), Contacts (S_CONTACT), Opportunities, Quotes, Orders, Cases, Activities, Assets, and custom extension tables last (because they often have foreign-key lookups to standard objects). Each phase emits a row-count reconciliation report before the next phase begins. Siebel's 30 req/min REST API rate limit is managed through parallel session threads and exponential backoff. We use Dynamics 365's Dataverse Bulk API with batch chunking for large activity history imports.
Cutover, validation, and workflow handoff
We freeze Siebel writes during the cutover window, run a final delta migration of any records modified during the migration, then enable Microsoft Dynamics 365 Sales as the system of record. We deliver the Siebel Workflow Process and EAI integration inventory document to the customer's admin team with recommended Power Automate equivalents for each workflow. We support a one-week hypercare window where we resolve any reconciliation issues raised by the customer's team. We do not rebuild Siebel Workflow Processes as Power Automate flows inside the migration scope; that is a separate engagement.
Platform deep dives
Oracle Siebel
Source
Strengths
Weaknesses
Microsoft Dynamics 365 Sales
Destination
Strengths
Weaknesses
Complexity grading
Standard CRM migration. All 8 core objects map 1:1 between Oracle Siebel and Microsoft Dynamics 365 Sales .
Overall complexity
Standard migration
Derived from compatibility, mapping clarity, API constraints, and data volume across Oracle Siebel and Microsoft Dynamics 365 Sales .
Object compatibility
All 8 core objects map 1:1 between Oracle Siebel and Microsoft Dynamics 365 Sales .
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
Oracle Siebel: 30 requests per minute per session (REST API).
Data volume sensitivity
Oracle Siebel 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.
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FAQ
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