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.
Domo to Looker migration starts with an inventory of cards, Beast Modes, DataFlows, datasets and connectors. SquareShift rebuilds Beast Modes in LookML or warehouse logic, and moves DataFlow logic to the warehouse, dbt, Dataform or a derived table. Engineers review the result, then check Looker output against Domo before cutover.
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.
Cards carry visual intent, filters, owners, usage, and dashboard context that decide what moves, merges, redesigns, or retires.
Owners and usage extracted · Duplicate and stale cards flagged
Card-level and dataset-level formulas define KPIs, filters, aggregation, and reuse patterns that must become governed logic.
Formulas and dependencies extracted · Metric drift flagged
SQL DataFlows and Magic ETL steps hold transform logic, schedules, lineage, and downstream dataset dependencies.
Steps and schedules extracted · Ownership gaps flagged
Datasets, connectors, refresh rules, alerts, owners, and permissions show what must be validated before cutover.
Freshness and access extracted · Refresh risk flagged
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.
Review formula context, aggregation, and filter behavior before choosing LookML or warehouse SQL.
If you are comparing Looker vs Domo, start with the reports and logic your team uses. Beast Modes are reviewed for LookML or warehouse logic. Critical cards can become Looker tiles or dashboards; duplicate and stale cards can be left behind.
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
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02 / Technology
Analytics Cost Cut for a Global Learning and Talent Software Provider
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03 / Technology
Sales Teams Run Their Own Reports at a US Semiconductor Maker
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04 / Technology
Learning Progress in Real Time for a Global EdTech Platform
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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
Faster BI migrations than manual migration.
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 Domo estate and returns a scored inventory, migration roadmap, and proof plan in 48 hours, before any rebuild work begins.
Need more than a migration? See our Looker consulting, read about our Looker migration services, or see how we run a Tableau to Looker migration.
You'll be talking to the senior engineer who'd do the work.