Migration Services
Power BI to Looker Migration Services
Move Power BI reports, semantic models, calculations, and analytics workflows to Looker through a structured migration focused on trusted metrics and user adoption.
Migration Services
Move Power BI reports, semantic models, calculations, and analytics workflows to Looker through a structured migration focused on trusted metrics and user adoption.
Why Looker?
Define dimensions, measures, relationships, and calculations centrally in LookML instead of repeating logic across individual reports.
Allow users to explore trusted data through curated Explores without losing control over business definitions and relationships.
Use Git-based development, testing, review, and deployment workflows to manage analytics changes more consistently.
Extend governed analytics into applications and workflows through Looker APIs, embedding capabilities, and Gemini-enabled experiences.
How We Migrate
Review Power BI workspaces, reports, dashboards, semantic models, dataflows, DAX measures, Power Query logic, gateways, permissions, and usage.
Identify critical reports, duplicated content, shared metrics, unused assets, technical dependencies, and suitable migration waves.
Translate Power BI relationships, measures, calculations, and business definitions into governed LookML models, views, Explores, and access rules.
Recreate priority dashboards and compare calculations, filters, totals, drill paths, permissions, performance, and expected business outcomes.
Release Looker content in phases, train users, monitor adoption, optimize models, and retire approved Power BI assets.
Why Codimite?
Codimite combines Google Cloud expertise, semantic modeling, analytics engineering, and adoption planning to modernize the complete BI environment.
Start Your MigrationDAX and Model Discovery. We identify measures, calculated columns, relationships, Power Query transformations, and business logic across Power BI semantic models.
Governed LookML Architecture. We create reusable LookML models that deliver consistent metrics across dashboards, departments, and embedded experiences.
Purpose-Led Dashboard Redesign. We rebuild reports around business decisions and user needs instead of reproducing every Power BI visual exactly.
Governance and Adoption Planning. We establish access controls, content ownership, development standards, training, and release processes for long-term Looker adoption.
Platform Comparison
Both platforms support enterprise analytics, but Looker places stronger emphasis on reusable semantic modeling, governed exploration, and analytics development workflows.
| Area | Power BI | Looker |
|---|---|---|
| Platform approach | Microsoft business intelligence platform centered on reports, dashboards, and semantic models | Governed business intelligence platform centered on reusable data models and analytical experiences |
| Semantic modeling | Uses Power BI semantic models, relationships, DAX measures, and calculated columns | Uses LookML to centrally define dimensions, measures, joins, calculations, and business rules |
| Metric consistency | Shared semantic models can standardize metrics, but logic may also be repeated across reports | Reusable LookML definitions help maintain consistent metrics across dashboards, users, and applications |
| Development model | Primarily developed using Power BI Desktop and web-based tools | Browser-based LookML development supported by code review, testing, and controlled deployment |
| Version control | Deployment pipelines and external tools can support content lifecycle management | Native Git integration supports branching, collaboration, version history, and production deployment |
| Data connectivity | Supports Import, DirectQuery, Live Connection, and composite models | Queries supported databases directly through governed LookML models and Explores |
| Data storage | Import models copy data into Power BI capacity; DirectQuery models query the source | Looker generally leaves data in the connected database and generates SQL at query time |
| Self-service analytics | Users create reports and visuals from available semantic models and data sources | Users explore governed dimensions and measures through curated Looker Explores |
| Calculations | Uses DAX, Power Query, calculated columns, measures, and visual calculations | Uses LookML dimensions, measures, derived tables, table calculations, and database SQL |
| Dashboard migration | Existing content is stored as Power BI reports, dashboards, and apps | Priority content is rebuilt using Looker models, Looks, dashboards, and Explores |
| Google Cloud integration | Connects to BigQuery and supported Google Cloud data sources | Closely integrated with BigQuery and the wider Google Cloud data and AI ecosystem |
| Microsoft integration | Strong alignment with Microsoft Fabric, Azure, Excel, and Microsoft 365 | Supports governed analytics across Google Cloud, external databases, applications, and embedded workflows |
| Embedded analytics | Provides Power BI Embedded and integration with Microsoft applications | Offers APIs, SDKs, extensions, and embedding for customer-facing and internal applications |
| AI capabilities | Integrates with Microsoft Copilot and Fabric capabilities depending on licensing | Supports Gemini-enabled analytics experiences within eligible Looker environments |
| Governance | Uses workspaces, apps, roles, permissions, sensitivity labels, and tenant controls | Combines permissions with governed LookML models, reusable definitions, and development controls |
| Best suited for | Microsoft-aligned reporting, dashboarding, and self-service BI | Governed enterprise metrics, reusable analytics models, embedded BI, and Google Cloud-aligned analytics |
FAQs
Codimite can migrate priority reports, dashboards, semantic-model logic, DAX measures, Power Query transformations, data connections, permissions, and reporting workflows.
There is no complete one-click conversion from Power BI to Looker. Existing metadata can support discovery, but LookML models, calculations, dashboards, and user experiences must be rebuilt and validated.
DAX measures are translated into LookML or the underlying data layer, while Power Query transformations may move to BigQuery SQL, Dataform, or Dataflow. Relationships, hierarchies, and security rules are redesigned as governed LookML models and Explores.
Not necessarily. We assess usage, duplication, business value, complexity, ownership, and user needs to determine which reports should be migrated, consolidated, redesigned, or retired.
Looker supports governed self-service analysis through Explores and a broad range of visualizations. Some Power BI-specific visuals, interactions, or drill experiences may require redesign or custom development.
We compare filters, totals, dimensions, measures, calculations, drill paths, permissions, refresh behavior, performance, and expected business outcomes before production release.
Assess your Power BI environment and build a practical roadmap for semantic modeling, dashboard migration, validation, governance, and user adoption.
Start Your Migration
