Siebel CRM to Salesforce Data Migration

Retire Siebel and move to Salesforce with AI-powered data migration. Mine 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

mine — Siebel CRMSalesforce
SourceTarget
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
+6 more objects mapped94% avg confidence
See full mapping →

6–10 weeks

to production-ready mappings

40–50%

cost reduction vs. manual migration

90%+

average mapping confidence

Most enterprise migrations start 6+ 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. Mine reads Siebel's repository metadata to decode extension columns into meaningful Salesforce field mappings.

Based on enterprise migration programs led by Mine's founding team

Last updated March 2026

How Mine automates your Siebel CRM to Salesforce migration

  • Mine 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.

  • Mine 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.

See how Mine works end-to-end →
Siebel CRMSalesforce mapping
Mine mapping review showing AI-generated field mappings with confidence scores for Siebel CRM to Salesforce migration

Get your Siebel CRM to Salesforce mapping analysis — see results in under an hour

Migration timeline: manual vs. Mine

Traditional approach

Timeline

12–18 months

Estimated cost

$1.5M–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 Mine

Enterprise benchmarks

Timeline

6–10 weeks

Team size

2–3 internal resources

Estimated cost

40–50% less

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.

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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).

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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.

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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.

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Siebel CRM to Salesforce field mapping — what data moves

11 data objects typically migrated

Source ObjectTarget 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. Mine handles profiling and mapping at any scale.

The cost of manual Siebel CRM to Salesforce migration

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.

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Frequently asked questions

Mine connects to the Siebel repository tables (S_TABLE, S_COLUMN, S_BUSCOMP, S_BUSCOMP_FLD) to understand the business meaning of extension columns and custom configurations. This is far more accurate than trying to reverse-engineer the base table schema.

In one enterprise migration, a single field mapping error in customer master data caused $100K in billing discrepancies that went undetected for 6 months.

Mine catches these issues before they reach production.

Built by a team that led SAP, Oracle, and Salesforce data migration programs for Fortune 500 companies at a Big 4 consulting firm. Currently in design partnership with enterprise clients running active migration programs.

Ready to migrate from Siebel CRM to Salesforce?

Tell us about your migration and we'll show you how Mine can help.

No commitment required. We'll review your migration scope and share a preliminary assessment within 48 hours.

✓ No credit card✓ 48-hour response✓ Free initial assessment

You'll receive a preliminary mapping analysis showing how your source objects map to your target schema, with confidence scores and flagged risk areas.

Or book a demo call →