Services built for operational businesses
Six focused service areas that work together to turn scattered data into dependable decision systems and automated workflows.
Data Platform Foundations
A scalable warehouse or data lake that handles messy operational data without requiring constant redesign.
What you get
- • Dimensional or lakehouse schemas fit for your data patterns
- • Efficient storage and cost management for years of data
- • Reference data and slowly changing dimensions
- • Data quality checks built into the foundation
Ideal for
- • Companies outgrowing spreadsheet-based reporting
- • Operations teams managing multiple systems
- • Businesses with inconsistent historical data
- • Organizations needing long-term data retention
Tools we use: Snowflake, BigQuery, Apache Iceberg, dbt
Data Pipeline Engineering
Reliable connections between your operational systems and analytics platforms, handling real-world failures gracefully.
What you get
- • ERP, CRM, and API integrations that handle changes
- • Automatic retry logic and error recovery
- • Data validation rules that catch problems early
- • Monitoring and alerting for production pipelines
Ideal for
- • Teams managing multi-system integrations
- • Businesses with complex data movements
- • Organizations needing real-time or near-real-time data
- • Companies tired of "we forgot to run the extract"
Tools we use: Airflow, dbt, custom Python/Go pipelines, Fivetran
Reporting and Decision Systems
Executive dashboards and frontline tools that define metrics your teams actually believe and can act on.
What you get
- • Semantic metrics layers that define "truth once"
- • Executive dashboards for monitoring and planning
- • Operational dashboards for frontline teams
- • Self-service analytics that reduce analyst burden
Ideal for
- • Teams arguing about "whose numbers are right"
- • Operations needing faster decision cycles
- • Businesses with distributed reporting needs
- • Finance and ops teams managing inventory/orders
Tools we use: Looker, Tableau, Power BI, Metabase
AI Workflow Automation
Document workflows, email routing, and knowledge retrieval that make automation feel calm and reliable instead of scary.
What you get
- • Document intake and classification automation
- • Exception routing with human approval gates
- • Email and order routing with intelligent triage
- • Internal knowledge tools that reduce manual lookups
Ideal for
- • Teams handling high-volume, repetitive tasks
- • Businesses with invoice/order exception handling
- • Organizations with distributed field teams
- • Companies needing compliance-friendly automation
Tools we use: Claude API, Make, Zapier, custom Go/Python applications
Data Quality and Governance
Validation rules, ownership models, and monitoring routines that catch data problems before they become business problems.
What you get
- • Data validation rules at source and pipeline
- • Ownership and stewardship models
- • Data lineage and impact analysis
- • Monitoring and alerting for data drift
Ideal for
- • Teams managing sensitive or compliance data
- • Organizations scaling their data usage
- • Businesses needing audit trails and controls
- • Companies implementing governance frameworks
Tools we use: Great Expectations, dbt assertions, custom validations
Fractional Data Leadership
Part-time data leadership for companies that need direction without a full-time hire, or a bridge during transition.
What you get
- • Strategic data roadmap and prioritization
- • Build vs. buy decisions for data tools
- • Hiring guidance for data teams
- • Board-level reporting and metrics
Ideal for
- • Mid-market companies scaling data operations
- • Teams needing interim leadership
- • Organizations planning data transformations
- • Boards requiring data strategy input
How we work with you
Focused Sprints
2-4 week projects on specific problems: a pipeline integration, a new dashboard, or a process improvement.
✓ Fast turnaround
✓ Contained scope
✓ Clear deliverables
Implementation Projects
12+ week engagements to build and deploy major systems: a data platform, a reporting layer, or workflow automation.
✓ Complete ownership
✓ Full team dedication
✓ Handoff and training
Ongoing Optimization
Monthly or quarterly engagements to refine systems, add features, and support your team's growth.
✓ Flexible time commitment
✓ Scalable scope
✓ Predictable costs
Not sure where to start?
Book a working session to explore your data challenges and find the right starting point.
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