The legacy is too messy for a manual assessment.
Logic is buried in reports, calculated fields, joins, data models, and business exceptions. A manual review will miss things.
MicroStrategy to Looker migration starts with a scan of dossiers, reports, metrics and security filters. SquareShift reviews the LookML and compares dashboards with MicroStrategy output before cutover.
For migration planning, see Looker migration services, Looker consulting, and Tableau to Looker migration.
SquareShift’s DashPort –
AI accelerated BI migrations
The migration risk
Logic is buried in reports, calculated fields, joins, data models, and business exceptions. A manual review will miss things.
Hidden work appears late, hard dashboards take longer than planned, and the budget starts moving after approval.
Spend months, take risk, pull people into review, and end with the same reports in a new tool. That is a hard sell.
The old platform cannot be switched off until the new reports are trusted. Until then, teams compare numbers for months.
Consumer teams do not want weeks of validation meetings, reconciliations, and signoff loops on top of their own work.
It inventories and scores every dashboard and report, so the plan starts from the estate that exists.
Attributes, facts, hierarchies, transformations, tables, and relationships define the model that Looker must preserve.
Attributes, facts, hierarchies · relationship risk
Trusted KPIs, compound metrics, filters, and prompts move only after definition and output parity are clear.
Metric formulas, dependencies · owner review
SQL generation, joins, aggregation, and database behavior are flagged before LookML or warehouse work starts.
Project settings, SQL behavior · expert review
Row-level rules, groups, roles, projects, and object access become named-user validation cases.
Filters, roles, groups · access test matrix
Source objects map to governed Looker structures. Dashport generates the first pass; SquareShift engineers review every business-critical translation.
Parse, inventory, and score every object before it is translated.
Metric definition, grain, filters, aggregation, and SQL output are validated with the owner.
Attributes, facts, hierarchies and relationships define the model that Looker must preserve. Certified metrics are mapped into governed LookML measures and checked with business owners. VLDB settings are assessed and flagged for expert review before rebuild work starts.
Security filters are mapped to Looker access grants, access filters, permissions, folder strategy, and model sets. Each test user must see only the approved rows, explores, and dashboards before cutover.
MicroStrategy is now called Strategy. The migration is the same: your reports and metrics move to Looker, and important logic is translated into LookML with automation plus expert review.
Connect source BI systems, ingest dashboards and reports, read metrics, filters, and joins, and map calculations and dependencies.
Effort and risk scored per assetRecommend what to keep, refactor, migrate, and sunset, and surface dead inventory and duplicate reporting.
Keep / refactor / migrate / sunsetGenerate Looker-ready models, views, and dashboards, track generated files and review flags, and keep humans on exceptions and business logic.
Looker-ready models generatedCheck the full estate, validate UI parity, data models, calculations, KPIs, and data consistency, then review exceptions before signoff.
100% automated validationValidation before cutover
DASHPORT scans the estate, exposes migration risk, and gives you the roadmap before the program starts.
What you leave withAssessment pack, migration roadmap, and proof plan.
Four engagements
Daily Reporting Unified for a Learning Platform's 1.5 Million Learners
Read →
02 / Technology
Dashboards Refresh in Ten Seconds, Not Hours, for a Recruiting Platform
Read →
03 / Financial Services
Scattered Research Data Unified for a Multinational Investment Bank
Read →
04 / Technology
Analytics Cost Cut for a Global Learning and Talent Software Provider
Read →
Credentials and proof




BI credentials
BI instances we have worked on.
BI and Looker assets migrated across SquareShift delivery work.
Delivery work across Fortune 500 accounts.
Migration performance
Average migration timeline, down from 12 months.
Migration consistency during validation.
Whatever your reporting estate runs on today, DASHPORT reads it, translates it, and validates it into one governed Looker model.
A refined path from Tableau to Looker, backed by structured migration accelerators and built for enterprises moving toward a unified data model.
ExploreAutomated dashboard analysis, semantic model translation, and expert validation for Power BI estates moving into Looker.
Explore
A confident shift from Cognos to Looker, using a proven framework to support a governed analytics experience across the business.
ExploreA clear upgrade path from WebFOCUS to Looker with validated workflows for organizations modernizing their reporting foundation.
ExploreAssess first, then accelerate MicroStrategy migration with automation and expert validation for enterprise-ready reporting.
ExploreA Google-aligned move from Qlik to Looker for consistent, scalable BI that adapts to evolving data needs.
Explore
A guided transition from Domo to Looker with enterprise-grade precision and a path into a governed, AI-ready analytics layer.
ExploreFor legacy or custom-built BI platforms, analyze reporting assets and validate every dashboard and metric before production use.
ExploreDASHPORT scans your MicroStrategy estate and returns a scored inventory, migration roadmap, and proof plan in 48 hours, before any rebuild work begins.
You'll be talking to the senior engineer who'd do the work.