We align metrics and pipelines so leadership decides on data people trust — not weekend spreadsheet merges.
Marketing, sales, and product quote different figures — meetings debate definitions.
Pretty charts that do not answer daily questions — teams revert to Excel.
Manual pipelines without QA — decisions on numbers that are already outdated.
Missing GA4/CRM events — unclear which channels actually drive revenue.
We build analytics foundations: event tracking, ETL pipelines, warehouses, and BI dashboards — so product, marketing, and leadership act on KPIs that are documented, tested, and maintained.
North-star metrics, event dictionaries, and governance across teams.
GA4, product analytics, server events, and consent-aware collection.
Ingestion from APIs, databases, and sheets into BigQuery, Snowflake, or similar.
Dimensional models, dbt projects, and documented transformations.
Looker Studio, Looker, Metabase, or Power BI views tuned to each audience.
Playbooks so analysts and operators can self-serve without breaking definitions.
We list decisions the business needs to make and the metrics that answer them.
Inventory systems, gaps, latency, and quality issues before building pipelines.
Events, connectors, and batch or streaming loads with monitoring.
Trusted tables and dashboards with definitions linked in plain language.
Reviews, change control, and backlog for new questions as the business evolves.
Core metrics calculated once and reused across teams and tools.
Views by role — exec summary, growth, product, and finance — not one cluttered page.
Metric catalog everyone can reference when numbers disagree.
Tests, alerts, and owners so data breaks are caught before the Monday meeting.
Looker Studio, Looker, Metabase, and Power BI are common — we match what your team already licenses or can afford.
Not always for MVPs — we may start with GA4 plus a light warehouse. Growth usually needs modeled tables; we roadmap that honestly.
We clean and backfill where possible, document gaps, and set rules so new data stays trustworthy.
Consent mode, PII minimization, retention policies, and regional defaults aligned with your legal guidance.
A first executive dashboard often lands in 4–8 weeks; full warehouse programs scale with source count and modeling depth.
Yes — handover sessions, metric docs, and pairing on dbt or BI so knowledge stays in-house.
Align north-star KPIs and pipeline roadmap. +84 396 928 088.
