Structured Business Data
Products, customers, suppliers, inventory, orders, documents, and other operational processes.
ERP Migration · Database Migration · Odoo
Data from legacy systems migrate to Odoo
ERP, inventory management, CRM, database or table stock: We analyze sources, clean data, develop mapping, and transfer master data as well as selected transactional data to Odoo in a controlled manner.
More than just reading files
An ERP migration is not a one-time CSV import.
Source and target systems use different data models, mandatory fields, relationships, and business rules. A robust migration therefore translates not only columns but also domain-specific meaning.
Products require variants, units, categories, and prices. Business partners have roles and addresses. Transactional data links orders, deliveries, invoices, and payments. These relationships must be preserved in the Odoo target model.
The goal is not "all data in Odoo".
The goal is a complete, traceable, and usable data set in daily operations.
The goal is a complete, traceable, and usable data set in daily operations.
Open-source migration
From which systems data can be transferred.
What matters is not just the product name, but whether data can be provided completely, consistently, and reproducibly from the source.
Contacts and transaction data
Leads, activities, service cases, projects, and industry-specific records as agreed.
SQL and structured exports
Direct database extracts or reproducible extractions from relational source systems.
Controlled data retrieval
Pagination, filtering, change timestamps, and repeatability are included in the extraction.
Tables with clear responsibility
Suitable when columns, formats, relationships, and versions are clearly defined and controlled.
Consolidation before Odoo
Duplicates, priority rules, and common keys are established before merging.
Data Scope
Master data, open transactions, and history decided separately.
Not all data classes require the same depth or transmission method.
Master Data
Products, variants, categories, prices, contacts, addresses, suppliers, accounts, and other fundamentals.
Current States
Inventory, open items, open orders, ongoing projects, and other information needed as of the cut-off date.
Movement Data
Selected orders, deliveries, invoices, payments, returns, or service transactions with their relationships.
Documents
Attachments, PDFs, images, and other files require their own mapping, storage, and verification rules.
History and Archive
Legacy data can be stored completely, for a limited time, condensed, or securely outside of Odoo with revision and access safety.
Technical Path
Extraction and import suitable for the data source.
A project can combine multiple procedures. Important are repeatability, logging, and the ability to execute test and production runs according to the same rules.
API Call
For controlled, filterable extraction with defined query and repetition rules.
Database Extract
For extensive or complex linked data, provided secure access and schema knowledge are available.
File Import
For clearly structured CSV or Excel datasets with documented formats and relationships.
Migration Pipeline
For repeatable extraction, cleansing, transformation, validation, and Odoo import.
Controlled Process
From source analysis to verified production migration.
The migration is designed to be executed again with updated source data. This creates robust test runs and reduces manual corrections at go-live.
Inventory Sources
Capture systems, tables, files, APIs, owners, data volumes, and access options.
Profile Data
Examine completeness, formats, duplicates, keys, relationships, and erroneous values.
Define scope
Decide on data classes, cut-off dates, historical depth, exclusions, and archiving strategy.
Develop mapping
Document source fields, transformations, target models, references, and business rules.
Execute test migration
Import representative data, evaluate errors, and refine mapping and cleansing.
Conduct business validation
Check sums, samples, relationships, and complete business processes in Odoo.
Migrate to production
Control freeze, delta, import order, responsible parties, logs, and fallback path.
Quality assurance
A successful execution is not yet a successful migration.
Validation rules must be established in advance. Only then can it be demonstrated whether records are complete, relationships are intact, and business results are plausible.
Technical controls
Count, mandatory fields, data types, references, error logs, and repeatable runtimes.
Business controls
Sums, prices, stocks, open values, status logic, and representative samples.
Process controls
Test sales, purchasing, inventory, accounting, and other critical processes with migrated data.
Scope of services
Three cuts for different data realities.
Master data migration
For a clean start with the most important fundamentals.
- defined master data
- mapping and transformation
- test import and samples
- no extensive history
operational migration
For the go-live with current states and open processes.
- Master Data
- stocks and open processes
- multi-stage test migration
- business process acceptance
complex data migration
For multiple sources, histories, and individual data models.
- source consolidation
- selected transaction data
- individual pipeline
- extended validation and cutover logic
further topics
specialized paths to Odoo.
frequently asked questions
ERP and database migration to Odoo answered concisely.
Which data sources can be migrated to Odoo?
Suitable are, among others, ERP and inventory management systems, CRM and specialized applications, relational databases, APIs, as well as structured CSV or Excel files. Access, data quality, and a documentable source model are crucial.
Do all historical data need to be transferred to Odoo?
No. Histories should be evaluated based on operational usefulness, evaluation needs, and retention obligations. Often, a combination of relevant data migration and a traceable archive is more sensible.
How are duplicates and erroneous data handled?
Cleaning and prioritization rules are defined before the productive run. Automatic corrections, professional decisions, and excluded records should remain documented and verifiable.
Can the migration be tested before go-live?
Yes. Reproducible test migrations on an Odoo test instance are a central component. They allow for mapping corrections, professional acceptance, and realistic scheduling.
What does a data migration to Odoo cost?
Significant cost drivers include the number and complexity of sources, data volume, data quality, historical depth, relationship logic, cleaning, testing scope, and cutover requirements. A fixed price is only reliable after a clear scope definition.
Next step
Classify sources, data quality, and migration scope.
We review sample data, target models, historical needs, and acceptance criteria, and develop a reliable migration scope from this.