Data Migration Agency Berlin

    Data Migration
    From Berlin.

    We migrate customer records, product data, order histories, CRM contacts, process data and configurations during system changes, platform migrations, legacy replacements and consolidations. With a clear understanding of business logic and dependencies, we make sure data arrives in the new system complete, connected and more useful than before.

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    More Than Transfer

    When Data Moves.

    Behind every data migration is a company moving forward: a new CRM, a different platform, the replacement of legacy systems or the build-up of a central data foundation. The data that changes place often carries more business meaning than is visible at first glance: customer records, order histories, product catalogs, contracts, process data and the workflows built around them over many years.

    Our work starts with understanding that meaning before any data is moved: which processes, reports and teams depend on the data, which relationships and special cases have grown over time and how the target system can make the data more useful in the long run. From there, migration becomes more than transfer. It becomes the moment to improve quality, structure and future use.

    Typical Projects

    What We Migrate Data For.

    We migrate data for companies changing systems, building platforms, consolidating data sets or modernizing structures that have grown over time.

    01

    CRM and ERP Migration

    CRMERPSystems

    For companies changing CRM, ERP or business systems and needing contacts, pipelines, histories, orders and configurations carried over completely and in the right context.

    02

    Database and Data Model Migration

    DatabaseSchemaPostgreSQL

    For projects moving database systems, restructuring schemas or adapting data models to new applications and architectures.

    03

    Legacy System Replacement

    LegacyModernizationOld Systems

    For data in outdated systems, proprietary software, Access files or Excel-based setups that should move into modern, open systems.

    04

    Platform and Cloud Migration

    CloudSaaSData Ownership

    For companies replacing SaaS platforms, changing cloud providers, moving to owned infrastructure or regaining control over their data.

    05

    Consolidation and Merging

    ConsolidationCleanupCentralization

    For data sets grown across systems and departments that need to be combined into one cleaner, more usable data foundation.

    06

    Commerce and Product Data

    ProductsShopCommerce

    For shop changes and commerce projects where products, variants, prices, customers and order histories need to move cleanly into the new system.

    07

    Website and Content Migration

    CMSContentSEO

    For relaunches and CMS changes where content, media, metadata and URL structures need to move into the new system while protecting rankings.

    Quality Criteria

    What Makes a Migration Reliable.

    Data migrations rarely fail because of transfer alone. They fail when understanding is missing, mapping is incomplete, dependencies are overlooked or validation is too weak.

    Understand Data Before Moving It

    Which data, relationships and special cases exist in the source system? Which processes and teams rely on them? If these questions are skipped, problems appear later in live operation.

    Clean Mapping Between Source and Target

    Every relevant field, relationship and business rule needs a defined place in the new system. Incomplete mapping creates silent losses that may only become visible weeks later.

    Cleanup as Part of Migration

    Migration is the right moment to remove duplicates, legacy clutter and inconsistent formats. If old issues are imported unchanged, the new system starts with old problems.

    Know and Protect Dependencies

    Reports, dashboards, automations, pipelines and integrations depend on data. A migration that does not understand these dependencies can interrupt processes in unexpected places.

    Test Runs With Real Data

    Before production migration, test runs with real data sets reveal edge cases and make results reviewable. Without test runs, migration becomes a matter of hope.

    Follow-Up Checks and Stability

    After transfer, completeness, correctness and relationships are checked in the new system. The migration is finished only when integrations, pipelines and processes run reliably.

    Services

    From Analysis to Validated Transfer.

    We handle analysis, mapping, cleanup, transfer and validation for data migrations with the ambition that data reaches the new system complete, cleaner and more useful than before.

    01

    Migration Analysis

    We analyze source systems, data models, field logic, relationships, data quality and dependencies with processes, reports and downstream systems. This creates a complete picture before the migration plan is defined.

    AnalysisSourcesData Model
    02

    Strategy and Planning

    We develop mapping logic, transformation rules, cleanup steps, sequence and timeline with clear risk assessment. The plan accounts for dependencies, business continuity and target architecture.

    StrategyPlanningRoadmap
    03

    Mapping and Transformation

    Fields, relationships and special logic are assigned to the new data model. Where structures differ, transformation rules translate, merge or enrich data during migration.

    MappingFieldsTransformation
    04

    Cleanup and Quality Assurance

    Duplicates, outdated entries, inconsistent formats and legacy clutter are identified and cleaned before transfer. Migration becomes a step forward for the entire data set.

    CleanupQualityDeduplication
    05

    Transfer and Test Runs

    We run the transfer in a controlled way: with test runs on real data, incremental or complete transfers and defined rollback scenarios. Each step is documented and repeatable.

    TransferTest RunGo-Live
    06

    Validation and Follow-Up Checks

    Completeness, correctness and relationships are reviewed in the new system. Integrations, pipelines and processes are tested. Only when operation with real data is stable is the migration complete.

    ValidationReviewMonitoring
    The Right Partner

    Why BxW.

    We migrate data with an understanding of the company, its systems and the business logic behind them. Data, web, infrastructure and operations belong together in our work, and that is exactly what we bring into migration projects.

    01

    Data in Business Context

    We do not just move fields and tables. We understand customer records, order histories, product logic and process data in their business context. This leads to mapping decisions that work in operation.

    02

    Data Platforms and Target Systems

    We build data platforms, pipelines and data models on PostgreSQL, Supabase, Metabase and other systems. Because we understand target architecture, we prepare data for the next stage, not just the transfer.

    03

    Web, Commerce and Infrastructure Together

    CRM, ERP, shops, CMS, databases, APIs and business systems: we know these environments from our own work and understand which data, integrations and logic matter during migration.

    04

    Quality Instead of Data Dumps

    Cleanup, deduplication, normalization and structural improvement belong to our standard for migration results. Not as an add-on, but as part of the process.

    05

    Care and Follow-Up Checks

    Test runs, validation on real data and post-migration monitoring are part of the project. A migration is complete only when the new system runs reliably.

    New Data Platform

    Building a New Data Platform?

    We connect data migration with the build-up of modern data platforms, pipelines and automations. When migration and target architecture come from one process, data model, quality and operations fit together from the beginning.

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    In Practice

    Data Migration in Practice.

    Controlled migrations for system changes, platform build-ups and consolidation with care for data models, business logic and quality.

    Data migration with mapping, cleanup, validation and target system structure

    Data Migrations

    Data migrations for system changes and platform projects with mapping, cleanup and validation.

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    Data platform with data core, APIs, permissions and BI foundation

    Data Platform

    Central data platforms as target architecture for migrated data.

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    System integration with APIs, webhooks and business process handovers

    System Integration

    Integrations and data flows that need to work cleanly after migration.

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    Data pipelines with APIs, calculations, forecasting and data product foundation

    Data Pipelines

    Data processing and automations on the migrated data foundation.

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    Key Questions

    Before the Data Migration.

    What does BxW mean by data migration?

    We move customer records, order histories, product data, CRM contacts, process data and configurations from existing systems into new ones in a controlled way. Whether it is a system change, database migration, legacy replacement or consolidation, the goal is that data arrives complete, clean and usable.

    Which systems can BxW migrate?

    CRM, ERP, databases, CMS, shop systems, business apps, SaaS platforms, legacy software and custom data platforms. What matters most is understanding the data and its business meaning, not the name of the system.

    What is the difference between good migration and a data export?

    An export copies fields. A good migration understands relationships, business logic and dependencies, cleans quality problems, maps data to the right target structure, validates through test runs and makes sure reports, automations and integrations continue to work.

    How does BxW handle data quality?

    Migration is the right moment to improve data quality systematically. Duplicates, outdated entries, inconsistent formats and legacy clutter are identified and cleaned before transfer. The new system starts with better data instead of imported problems.

    How does a data migration work?

    The process usually covers source system analysis, mapping, cleanup, test runs with real data, controlled transfer, validation and follow-up checks. Each step has clear review points. Before production migration, test runs are carried out and results are checked systematically.

    How much does data migration cost?

    Cost depends on data volume, source systems, data quality, mapping, cleanup effort, test runs and validation requirements. A clear transfer from one system is a different project from a migration with several sources, legacy data, process dependencies and ongoing operations. We first clarify what must not be lost under any circumstances.

    Can BxW migrate data from legacy systems?

    Legacy data can usually be migrated when access, data structure and target system are clarified. We extract data from outdated software, proprietary databases, Access files, Excel-based setups and systems without APIs; where no export interface exists, we build custom extraction paths.

    What happens to ongoing processes during migration?

    Timing, sequence and fallback scenarios are planned so ongoing operations are not interrupted. For time-critical migrations, we work with incremental transfers and clearly defined cutover points.

    How does BxW make sure no data is lost?

    Through systematic mapping, test runs with real data, completeness checks after transfer and post-migration monitoring. Silent losses - data that is missing without being noticed immediately - are addressed through dedicated validation logic.

    Does BxW support the target system after migration?

    We build and operate data platforms, pipelines, dashboards and automations. When the migration leads into a system we build or support, data quality and further development stay in one process.

    Discuss a Migration Project.

    Whether it is a system change, database migration, legacy replacement or consolidation: the best starting point is a conversation about source systems, data sets and what must not be lost during migration.

    Start a Migration Project