Advisory and implementation
for modern analytics stacks.
From architecture reviews to full builds and migrations, Platinur helps teams move from fragile reporting and legacy pipelines to scalable analytics foundations.
Core Services
Three ways to engage.
Architecture Review
- check_circle current stack assessment
- check_circle reporting architecture review
- check_circle warehouse / dbt / orchestration review
- check_circle structural risk identification
- check_circle target-state architecture recommendation
- check_circle phased implementation roadmap
Modern Analytics Stack Build
- check_circle analytics architecture design
- check_circle warehouse setup
- check_circle ingestion / ELT patterns
- check_circle dbt transformation layer
- check_circle orchestration and scheduling
- check_circle reporting-ready data modeling
- check_circle documentation and operating standards
Modernization & Migration
- check_circle legacy ETL to ELT migrations
- check_circle backend-coupled reporting separation
- check_circle re-platforming and architecture modernization
- check_circle refactoring ad hoc transformations
- check_circle orchestration improvements
- check_circle phased migration planning and implementation
What We Can Help With
Practical support across analytics architecture and implementation.
Platinur is typically brought in when reporting is too close to product systems, the stack is hard to trust, or the next version of the analytics architecture needs to be designed and built properly.
Engagement models
Clients usually buy a review, a focused implementation project, a modernization engagement, or a lighter advisory relationship with selective execution support.
Fixed-scope Architecture Review
A focused assessment engagement that clarifies what is wrong, what should change, and what the roadmap should be.
Project-based implementation
End-to-end build work for teams that need a warehouse, transformation layer, orchestration, and reporting foundation put in place.
Migration / modernization engagement
A phased delivery motion for legacy ETL, backend-coupled reporting, and architecture rework that needs to happen without operational chaos.
Advisory + selective execution support
Senior guidance, architecture input, and hands-on support where the internal team needs leverage rather than a full outsourced project.
AI-assisted delivery, applied where it actually helps
AI is not the service category. It is internal delivery leverage that reduces implementation friction while the output stays grounded in a real analytics architecture.
Faster documentation
Requirements, lineage notes, and handover material are easier to produce and keep current.
Accelerated transformation iteration
Model changes are easier to explore and refine without slowing the whole delivery loop.
Faster dbt model scaffolding
Initial model structure moves faster, with senior review still governing what gets shipped.
Easier change handling
New requests can be turned into proposed model, documentation, and QA updates with less delivery friction.
Backend dependency
Reporting and analytics move out of application logic and into a dedicated analytics layer.
Change cycles
Models, metrics, and reporting logic become easier to evolve once the stack is structured properly.
Pipeline ownership
Teams get clearer documentation, better structure, and less technical debt trapped in scripts and one-off fixes.
Start with an architecture review.
Share what feels messy: backend-coupled reporting, fragile pipelines, unclear ownership, or a stack that no longer fits how the business operates.
BOOK AN ARCHITECTURE REVIEW