Six stages. Every one of them ends in your hands.
Diagnosis
We learn your business and its rules, map where the hidden opportunities are, and set objectives, stack and KPIs.
DeliverableDiagnosis + strategy + fixed budget + timeline + data-model map.
Exploration
We access your data and run the first extractions. Early insights surface; we discuss them and sharpen the hypotheses.
DeliverableValidated hypotheses + prototype visuals + first-insight report.
Preparation
We clean and transform the data, compute the KPIs and metrics that matter, and validate them with you.
DeliverablePreliminary results + prototype code + a plain-English walkthrough.
Build
We load the datasets and stand up the flow on GCP (BigQuery, Vertex AI, Storage), with the first Looker views.
DeliverableFirst Looker dashboards + a working data pipeline.
Validation
With your feedback we squeeze the data further, surface hidden opportunities and tune until it lands.
DeliverableRefined dashboards + automated data loading.
Delivery
We present the finished project, teach you to use it, and hand everything over documented.
DeliverableFinal project + documentation + repositories + all materials.
Full cycle: three to six months by complexity. Diagnosis: around two weeks.
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