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.
Qlik to Looker migration starts with a scan of your apps, scripts and QVDs. SquareShift reviews the LookML and compares dashboards with Qlik 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.
Qlik Sense apps, QlikView documents, sheets, objects, bookmarks, owners, usage, and refresh cadence.
Owner map · Retire, merge, or rebuild flag
Load scripts, include files, variables, joins, mappings, reload tasks, and data connections.
Script blocks · Warehouse move flag
QVD files, creation scripts, consumers, refresh timing, lineage, duplicate extracts, and local transformations.
Lineage map · Freshness and owner flag
Set-analysis expressions, variables, master measures, calculated dimensions, alternate states, and date logic.
Expression parse · Manual review flag
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.
Business rules are rebuilt in LookML or warehouse logic, then checked against Qlik output.
Set analysis is rebuilt in LookML or warehouse logic. Load scripts are reviewed for warehouse work. QVDs are inventoried; some become warehouse tables, while stale or duplicate files may be retired.
For a Qlik Sense to Looker move, we assess apps. For a QlikView to Looker move, we assess documents. Both reviews cover scripts, data connections, QVDs, variables, set analysis and access rules.
Qlik associative selection behavior is documented before rebuild. Looker does not work the same way, so SquareShift maps the business questions users must answer, then designs the right Explores and filters.
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
Dashboards Refresh in Ten Seconds, Not Hours, for a Recruiting Platform
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02 / Technology
Learning Progress in Real Time for a Global EdTech Platform
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03 / Education
Daily Reporting Unified for a Learning Platform's 1.5 Million Learners
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04 / Education
Analytics 40% Cheaper and Hours Faster for an 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
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 Qlik 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.