Proof of Value: Data Product
We validate the value of a data product on real data before you invest in scaling
- Duration
- 8–12 weeks
- Format
- Remote + 1–2 on‑site sprints (optional)
- Who it's for
- Product and marketing leaders
When you need it
- You need to prove a model's impact before scaling
- Marketing needs LTV forecasts for user acquisition
- You need an A/B testing system you can trust
What you get
- PoC technical architecture and DAG/ETL plan
- Working pipeline (ETL/dbt, model code) and dashboard
- Performance metrics, A/B test design and business case (ROI)
- Handover: documentation, playbook and training for your team
Let's see if this format fits
We start with a free 30‑minute call: we clarify the task and propose the right scope and timeline
Other services
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Maturity Audit and Roadmap
A two‑week analytics health check: assessment across 9 domains and a 90/180/365‑day roadmap with TCO estimates
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Data Platform: DWH, ETL/ELT and BI
Data warehouse design, source integration, ETL/ELT pipelines, data marts and BI reporting
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Data Governance and Metrics House
Unified KPI definitions, a metrics catalog, data quality controls and incident response procedures
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Interim CDO / Transformation Lead
Interim leadership of data and analytics: roadmap, budget, vendor negotiations, team hiring and executive reporting
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Team, Training and Hiring
Bootcamps for analytics leaders, BI/DWH vendor selection, candidate assessment and help hiring analysts