Data Services for the Problems Your Team Keeps Working Around
Services we can start with
Dashboard Trust & Ownership Audit
Find why reports disagree, where business logic has drifted, and who needs to own each metric, source, and quality rule.
You get
- Metric trust map
- Ownership gaps
- Prioritized 30-60-90 day roadmap
Pipeline Rescue
Stabilize the ingestion, SQL, dbt, Airflow, PySpark, or handoff workflow that keeps failing, running late, or needing manual cleanup.
You get
- Failure diagnosis
- Fixed or redesigned workflow
- Monitoring and handoff notes
Trusted Reporting Layer
Turn scattered definitions and spreadsheet logic into a cleaner reporting layer that gives clients, leaders, and operators one answer.
You get
- Metric definitions
- Ownership and quality rules
- Clean reporting tables
Cloud Cost & Performance Fix
Identify why warehouses, clusters, queries, and jobs are costing too much or running too slowly, then separate fast savings from deeper repairs.
You get
- Cost drivers identified
- Query and job tuning plan
- Safer compute defaults
AI-Ready Source Data Foundation
Prepare the source data, metadata, quality checks, and access rules needed before search, RAG, or automation can be trusted.
You get
- Curated source datasets
- Metadata and quality checks
- AI consumption pattern
Fractional Data Decision Support
Recurring expert support when your team needs help deciding what to fix next, reviewing architecture, debugging incidents, or explaining tradeoffs.
You get
- Monthly decision support
- Architecture and PR reviews
- Implementation guidance
How We Work
Diagnose
Understand the system, failure, goal, and business constraint
Prioritize
Separate urgent fixes from architecture improvements
Execute
Debug, design, build, or review the work with clear ownership
Handoff
Deliver notes, diagrams, fix lists, and next steps
Why Work With Us
- 15+ years building governed production data systems
- Hands-on implementation, not just advice
- Help with dashboard trust, pipeline reliability, cloud cost, and AI-ready source data
- Clear communication and documentation
- Knowledge transfer to your team
- Flexible engagement models
