Migration Services
MicroStrategy to Looker Migration Services
Move MicroStrategy reports, dossiers, metrics, and analytics workflows to Looker through a structured migration focused on governed data and consistent business insights.
Migration Services
Move MicroStrategy reports, dossiers, metrics, and analytics workflows to Looker through a structured migration focused on governed data and consistent business insights.
Why Looker?
Define dimensions, measures, calculations, and data relationships once in LookML for reuse across analytical experiences.
Allow users to answer new questions through curated Explores while maintaining approved business logic and data access.
Manage analytics models through development environments, validation, Git version control, review, and controlled deployment.
Deliver governed insights inside applications and workflows through Looker APIs, embedding, and Gemini-enabled capabilities.
How We Migrate
Review MicroStrategy projects, reports, dossiers, documents, cubes, metrics, attributes, filters, prompts, security, schedules, and usage.
Identify critical content, duplicated reports, shared business metrics, unused assets, technical dependencies, and suitable migration waves.
Translate MicroStrategy attributes, facts, metrics, hierarchies, and relationships into governed LookML views, models, measures, and Explores.
Recreate priority dashboards and compare calculations, prompts, filters, totals, drill paths, permissions, performance, and business outcomes.
Release Looker content in phases, train users, monitor adoption, optimize models, and retire approved MicroStrategy assets.
Why Codimite?
Codimite combines Google Cloud expertise, semantic modeling, analytics engineering, and change management to modernize the complete BI environment.
Start Your MigrationMetadata and Logic Discovery. We identify metrics, facts, attributes, filters, prompts, hierarchies, and dependencies across MicroStrategy projects.
Governed LookML Architecture. We build reusable LookML models that deliver consistent business definitions across dashboards, users, and applications.
Experience-Led Redesign. We rebuild analytical experiences around user decisions instead of reproducing every MicroStrategy report exactly.
Adoption and Governance Planning. We establish ownership, access controls, development standards, release processes, and user training for long-term Looker adoption.
Platform Comparison
Both platforms support enterprise business intelligence, but Looker provides a modern approach centered on reusable semantic models, governed exploration, and development workflows.
| Area | MicroStrategy | Looker |
|---|---|---|
| Platform approach | Enterprise BI platform centered on reports, dossiers, documents, and governed metadata | Modern BI platform centered on reusable semantic models and governed data experiences |
| Semantic layer | Uses metadata objects such as facts, attributes, metrics, hierarchies, and transformations | Uses LookML to centrally define dimensions, measures, joins, calculations, and business relationships |
| Metric consistency | Shared metadata objects can standardize definitions across MicroStrategy projects | Reusable LookML definitions support consistent metrics across dashboards, users, and applications |
| Development model | Uses desktop, web, administrative, and metadata-development tools | Uses browser-based LookML development combined with self-service exploration and dashboard creation |
| Version control | Content lifecycle management depends on MicroStrategy deployment and administrative processes | Native Git integration supports branching, review, version history, validation, and deployment |
| Analytics experience | Users interact with reports, dossiers, documents, prompts, filters, and visualizations | Users explore governed dimensions and measures through curated Explores, Looks, and dashboards |
| Data architecture | Supports direct database access, in-memory cubes, and cached analytical content | Primarily generates SQL against connected databases using governed LookML models |
| In-memory processing | Intelligent Cubes may store and process data within the MicroStrategy environment | Persistent derived tables, aggregate tables, caching, and warehouse performance support analytical workloads |
| Calculations | Uses metrics, derived metrics, transformations, filters, and report-level logic | Uses LookML measures, dimensions, derived tables, table calculations, and database SQL |
| Dashboard migration | Existing content may include dossiers, reports, documents, and subscriptions | Priority content is rebuilt using governed Looker models, Looks, dashboards, and Explores |
| Self-service analytics | Users build reports and dossiers from available schema objects and datasets | Users answer new questions within approved semantic models and data relationships |
| Embedded analytics | Supports embedded analytics through MicroStrategy APIs and SDKs | Offers APIs, SDKs, extensions, and multiple embedding options for applications and workflows |
| Google Cloud integration | Connects to BigQuery and other supported Google Cloud data sources | Closely integrated with BigQuery and the broader Google Cloud data and AI ecosystem |
| AI capabilities | AI functionality depends on the selected MicroStrategy products and deployment | Supports eligible Gemini-enabled analytics and assisted LookML development capabilities |
| Security and governance | Uses users, groups, projects, roles, object permissions, and security filters | Combines roles and permissions with model access, user attributes, access filters, and governed LookML |
| Administration | Requires administration of projects, metadata, services, nodes, cubes, and content | Provides managed analytics capabilities with centralized model, content, user, and access administration |
| Best suited for | Traditional enterprise reporting, governed metadata, dossiers, and large BI deployments | Governed enterprise metrics, reusable analytics models, embedded BI, and Google Cloud-aligned analytics |
FAQs
Codimite can migrate priority reports, dossiers, documents, metrics, attributes, filters, prompts, calculations, permissions, schedules, and analytics workflows.
There is no complete one-click conversion from MicroStrategy to Looker. Existing metadata can support discovery, but LookML models, dashboards, calculations, and analytical experiences must be rebuilt and validated.
Metrics, attributes, facts, hierarchies, and relationships are redesigned as governed LookML views, dimensions, measures, joins, derived tables, and Explores.
Intelligent Cubes are assessed based on their source data, transformations, refresh patterns, and performance requirements. Their logic may move to BigQuery, aggregate tables, persistent derived tables, or another governed data layer.
Looker supports dashboards, filters, parameters, visualizations, and governed self-service analysis through Explores. Specialized MicroStrategy interactions or visualizations may require redesign or custom development.
We compare metrics, totals, filters, prompts, dimensions, drill paths, permissions, refresh behavior, performance, and expected business outcomes before production release.
Assess your MicroStrategy environment and build a practical roadmap for semantic modeling, dashboard migration, validation, governance, and user adoption.
Start Your Migration
