Siebel CRM to Salesforce Data Migration
Retire Siebel and move to Salesforce with AI-powered data migration. Settle automates the complex mapping between Siebel's on-premise relational model and Salesforce's cloud-native architecture.
Working with enterprise teams on active migration programs
Days
to production-ready mappings
Roughly half
the cost of consulting-led delivery
Every row
validated before go-live
Enterprise migrations routinely run months behind schedule. Yours doesn't have to.
This guide is for VPs of IT, data architects, and migration leads at companies moving data from Siebel CRM to Salesforce — whether you're scoping, planning, or mid-program.
Siebel CRM uses a highly normalized on-premise relational model with extension columns (ATTRIB_01 through ATTRIB_50), multi-value groups for many-to-many relationships, and decades of accumulated customizations, while Salesforce uses a cloud-native object model with explicit custom fields and junction objects. Settle reads Siebel's repository metadata to decode extension columns into meaningful Salesforce field mappings.
Based on the founding team's enterprise migration experience
Last updated July 2026
How Settle automates your Siebel CRM to Salesforce migration
Settle reads Siebel's repository metadata to decode extension columns — mapping ATTRIB_01 through X_CUSTOM_50 to meaningful Salesforce custom fields based on the business component configuration, not just the generic column names.
Multi-value groups and intersection tables are automatically profiled and mapped to Salesforce junction objects or native relationships (AccountContactRelation) — preserving roles, primary flags, and relationship dates.
Settle auto-maps Siebel Service Requests to Salesforce Cases with status translation, priority mapping, and activity history preservation — including escalation paths and resolution codes.
Siebel's picklist (LOV) values are extracted from the repository and aligned with Salesforce picklist values — flagging mismatches and generating value mapping tables for each field.
Get your Siebel CRM to Salesforce mapping analysis — see results in under an hour
Migration timeline: manual vs. Settle
Traditional approach
Timeline
12–18 months
Estimated cost
$1.5M+
Team size
8–15 consultants
Typically requires
×Manual field mapping in spreadsheets
×Custom ABAP/SQL extraction scripts
×3–5 mock migration cycles
×Dedicated source system consultants
×Manual reconciliation testing
With Settle
Enterprise benchmarksTimeline
Days
Estimated cost
A fraction of consulting cost
Team size
2–3 internal resources
Included
✓Schema profiling & analysis
✓AI-generated field mappings
✓Transformation SQL
✓Validation & readiness reports
✓Production-ready load files
Common challenges migrating from Siebel CRM to Salesforce
Siebel extension columns to Salesforce custom fields
Siebel uses generic extension columns (ATTRIB_01 through ATTRIB_50, X_CUSTOM_01 through X_CUSTOM_50) on base tables, with the column's meaning defined in configuration, not the schema. Salesforce uses explicitly named custom fields (Custom_Field__c). Mapping requires reading Siebel's repository metadata to understand what each extension column actually stores, then creating the corresponding Salesforce custom field.
Explore related migrations →Multi-value groups and intersection tables
Siebel uses multi-value groups (MVGs) to model many-to-many relationships — for example, a contact associated with multiple accounts. These are stored in intersection tables (S_PARTY_PER, S_CONTACT_BU). Salesforce uses junction objects or AccountContactRelation. The MVG-to-junction-object translation must preserve relationship attributes (roles, dates, primary flags).
Explore related migrations →Siebel Organization-based access control
Siebel segments data visibility by Organization (S_ORG_EXT), Position, and Responsibility. Salesforce uses Profiles, Roles, Sharing Rules, and OWD settings. The access control model translation isn't just a data migration issue — it affects which records should be visible to which users post-migration and requires parallel security design.
Explore related migrations →Service request and activity model differences
Siebel's Service Request (S_SRV_REQ) model with activities (S_EVT_ACT), action items, and resolution codes is deeply integrated with Siebel's assignment engine. Salesforce Cases use a different workflow with Case Teams, Entitlements, and Milestones. The activity and resolution history must be mapped to preserve service-level reporting continuity.
Explore related migrations →Siebel CRM to Salesforce field mapping — what data moves
11 data objects typically migrated
| Source Object | → | Target Object |
|---|---|---|
| S_ORG_EXT (Account) | → | Account |
| S_CONTACT (Contact) | → | Contact |
| S_OPTY (Opportunity) | → | Opportunity |
| S_OPTY_PROD (Opportunity Product) | → | OpportunityLineItem |
| S_SRV_REQ (Service Request) | → | Case |
| S_EVT_ACT (Activity) | → | Task / Event |
| S_PROD_INT (Product) | → | Product2 |
| S_ADDR_PER (Address) | → | Account/Contact Address |
| S_PARTY_PER (Party/Relationship) | → | AccountContactRelation / Junction |
| S_NOTE (Notes) | → | ContentNote |
| S_ASSET (Asset) | → | Asset |
Typical enterprise migrations include 500K–10M+ records across these objects. Settle handles profiling and mapping at enterprise scale.
The cost of manual Siebel CRM to Salesforce migration
Siebel CRM to Salesforce is the legacy CRM modernization migration. Siebel was the dominant enterprise CRM through the 2000s, but its on-premise architecture, expensive licensing, and complex administration have made it a prime target for replacement. Companies migrate to Salesforce for cloud-native scalability, a modern user experience, the AppExchange ecosystem, and dramatically lower infrastructure costs. This migration is often part of broader Oracle-to-cloud or digital transformation programs.
The technical complexity is significant because Siebel's data model is highly normalized and deeply customized in most enterprises. Siebel uses a proprietary table layer (S_CONTACT, S_ORG_EXT, S_OPTY, S_SRV_REQ) with extension columns (ATTRIB_01 through ATTRIB_50) for custom fields, multi-value groups (MVGs) for many-to-many relationships, and integration objects for data exchange. Salesforce's object model is fundamentally different — flatter, with explicit custom fields, lookup relationships, and junction objects. Siebel's decades of accumulated customizations (applets, views, business components, scripted logic) mean every installation is unique.
Traditional Siebel-to-Salesforce migrations are run by large consulting firms over 12–18 months using middleware tools like Informatica or Dell Boomi. The data mapping alone — across accounts, contacts, opportunities, service requests, activities, and custom objects — typically takes 3–4 months of manual analysis.
Consulting-led delivery for migrations in this class typically runs $1.5M+. Settle prices it fixed and scoped — read the full cost breakdown.
Frequently asked questions
Related migration paths
Exceptions surface before the first load, not after the third.
Built by the team that ran Fortune 500 migrations by hand. Currently onboarding enterprise design partners on active migration programs.
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