How We Work
A transparent, outcome-focused delivery process.
1
Discovery & Goals
- Align success outcomes and KPIs
- Confirm data sources + access checklist
- Define scope, timeline, and stakeholders
Deliverable
Project plan + KPI list
2
Data Audit & Quick Wins
- Validate data quality and tracking gaps
- Build a clean data model draft
- Ship a first dashboard draft fast
Deliverable
Working prototype + data audit notes
3
Build & Validate
- Production ETL/ELT pipelines (BigQuery-ready)
- Dashboard iterations with real users
- QA checks and metric validation
Deliverable
Production dashboard + validated metrics
4
Automate, Monitor, Iterate
- Scheduled refresh + monitoring
- Documentation + handoff session
- Optional support / retainer
Deliverable
Documented system + training
What you get in every engagement
KPI alignment
Clean data model
Documentation
QA & validation
Handoff + training
Support options
How we communicate
- Weekly review call
- Async updates 2–3x/week
- Transparent backlog + priorities
How we deliver
- Build in sprints
- Version-controlled changes
- Reproducible pipelines
Estimated Timelines
Typical delivery times depending on data access and complexity.
Dashboards & BI
Est. 2–5 weeks
Depends on data access and complexity.
Automation
Est. 2–4 weeks
Depends on workflow steps.
Data Integration
Est. 4–6 weeks
Depends on # of data sources.
Ready to stop guessing?
Book a call and we’ll map your fastest path to clarity.