Executive story / 1m 35s

A business morning in BlueShop.

One guided tour connects performance, conversion, customer value, stock, delivery, support and product quality without pretending that synthetic development data is a real business.

Silent film with burned-in narrationOpen WebM directly

What You Will See

Establish the positionExecutive GMV, orders, average order value and margin provide the opening context.
Follow commercial behaviorCheckout, promotions and product-level recommendation engagement show where activity changes.
Understand customersRFM groups recency, frequency and monetary value into a portfolio view.
Connect operationsStock pressure, delivery percentiles, Support SLA and product quality complete the journey.

Why It Matters

Business intelligence becomes useful when commercial and operational questions remain connected to the same business activity.

The film is a navigation story across twenty documented dashboard routes, not a claim that one dashboard explains causality.

The System Underneath

Operational factsOrders, carts, stock, support, reviews and recommendations

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Kafka CloudEventsCommitted domain outcomes

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Analytics + ClickHouseDerived facts and dimensions

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Metabase viewsSigned role-protected dashboards

Operational services remain authoritative. Analytics consumes facts and builds independent read models.

What This Story Proves

Visible proof

The BI surface can connect five stakeholder question areas in one guided journey.

Not claimed

The numbers are synthetic development data with different event start dates; they are not real customers or historically comparable production periods.

Read the five BI questions.

AI engineering connectionExecutable feedback constrains autonomous change