BI and Looker assets migrated across SquareShift delivery work.
Credentials and proof
Google Cloud and Looker credentials, plus proof of delivery.
Faster than manual migration.
Consistency during validation.
Average migration timeline, down from 12 months.
Dashboards migrated.
Fewer dashboards after portfolio assessment.
The situation
The same gaps undermine reporting trust and AI-readiness.
BI teams are being asked to improve trust and prepare for AI while still carrying inconsistent metrics, legacy dashboards, and fragile reporting logic.
01
Metric drift
Different teams answer the same business question with different definitions.
02
Dashboard sprawl
Reports multiply, but the business still waits for analysts to reconcile them.
03
Migration risk
Leaders want a better stack without breaking the reports operators already depend on.
04
AI-readiness pressure
Natural-language analytics only works when the governed model underneath it is sound.
What has to be settled first
Set the foundation before you rebuild reporting.
New BI tools do not fix trust by themselves. Metrics, semantics, permissions, platform choices, and migration continuity have to hold together first.
Reporting continuity, semantic definitions, warehouse choices, permissions, and migration risk have to work as one system. This is where many BI modernization programs slow down.
Trusted reporting depends on governed metrics, clear ownership, reliable freshness, consistent access rules, and a platform path that can support AI without adding more sprawl.
Metric and KPI trust
Define where core business metrics differ today and what must become shared operating truth.
Semantic-layer governance
Set the model structure, ownership, and permission rules that governed analytics and AI will rely on.
Migration scope and continuity
Choose what to keep, retire, migrate, or redesign without breaking business-critical reporting.
Platform and AI-readiness
Choose the data platform and reporting path that can support decision intelligence without adding sprawl.
Know the blind spots before you commit to a rebuild.
If you are not sure where trust is breaking down, the health check is the fastest way to see the bottlenecks, governance gaps, and migration risks in the current BI estate.
- Metric and semantic-layer gaps
- Reporting continuity risk
- Dashboard sprawl and redundancy
- AI-readiness blockers
What SquareShift helps build
Then we build the reporting system your teams need.
Once the foundation is settled, the work becomes operational: modern BI delivery, governed reporting, migration continuity, better warehouse fit, and trusted conversational access.
Looker implementation and modernization
Set up or repair the semantic layer, dashboards, access model, and adoption path.
BI migration with continuity
Move from legacy BI while keeping critical reports and business logic trusted during the change.
Modernize BigQuery and the data platform
Improve warehouse fit, pipeline reliability, freshness, and cost profile for analytics and AI.
Conversational analytics on governed data
Expose trusted data through natural-language interfaces only after permissions and definitions are stable.
Introducing dash.port
Move legacy BI into Looker with less risk.
Dashport is SquareShift's migration platform for complex BI estates. It helps assess portfolio complexity, translate reporting logic, migrate legacy assets into Looker, and verify parity before rollout.
Legacy BI estate
Assess portfolio complexity, translate reporting logic, and verify parity before rollout.
Controlled migration layerGoverned Looker destination
One governed Looker destination for trusted reporting.
AI-ready BI
AI-ready BIUse Dashport when portfolio complexity and reporting continuity make manual migration too slow and too risky.
Automation handles repeatable migration work. Manual review stays in place for complex edge cases before rollout.
Case studies
Delivery work across governed reporting, migration continuity, and BigQuery optimization.
Selected case studies showing how SquareShift modernizes reporting, preserves continuity through migration, and improves the platform underneath trusted BI.
Reporting
A global EdTech platform used Looker and GCP reporting to replace nightly lag with near-real-time learner and manager insight.
Read the case study Warehouse migrationA Snowflake-to-BigQuery migration kept existing Looker dashboards running while the platform underneath changed.
Read the case study BI migrationA skilling platform moved from Domo to Looker and BigQuery while daily reporting support continued through the transition.
Read the case study OptimizationA global learning platform improved BigQuery cost and performance through clustering, partitioning, and incremental processing.
Read the case studyWays to start
Start with the engagement that fits where trust or migration risk is weakest.
Use the same shared offer-card structure now established on the capability pages: clear entry point, what it is for, what gets covered, and commercial terms that stay honest when pricing has not been approved for publication.
BI modernization assessment
Assess where metric trust, semantic-layer maturity, migration pressure, and AI-readiness are blocking reliable reporting.
- Clarifies where trust breaks first
- Surfaces the highest-risk modernization decisions
FormatAssessment
PricingOn request
Migration advisory session
Review legacy BI scope, continuity risk, and where Dashport or manual delivery is the safer migration path.
- Maps continuity risk before migration starts
- Sets the sequence for platform and dashboard moves
FormatAdvisory session
PricingOn request
Looker health check
Review performance, governance, content quality, and operational issues inside an existing Looker estate.
- Checks model, dashboard, and access-pattern health
- Finds the quickest path to more trusted use
Format1 week
Pricing$7K
Scoped proof of value
Validate one migration lane, one semantic domain, or one decision-intelligence use case before broader rollout.
- Tests one practical lane before full commitment
- Turns interest into a prioritized next move
Format4 weeks
Pricing$25K
Get started
Start with one disputed metric, one fragile report, or one migration decision.
The useful first conversation is about what to fix first, how to move safely, and whether the current BI estate is ready for trusted reporting and AI.
See all five SquareShift practices