Ecosystem & scenario

Part C of Unit U01 — the data ecosystem, key roles, and a retail story that ties it together.

Unit U01 Part C ~15 min read + built-in quiz Level: Beginner

Before this: Complete U01A and U01B.

By the end of this lesson, you will be able to:

Name parts of a data ecosystem (sources, storage, tools, people, decisions).
Differentiate analyst, scientist, engineer, and BI roles (one line each).
Apply analytical thinking to a simple business scenario.

1. The data ecosystem (preview)

Sources — apps, websites, sensors, spreadsheets, surveys
Storage — databases, cloud, data warehouses
Tools — spreadsheets, SQL, Python, BI dashboards
People — analysts, engineers, managers, domain experts
Decisions — pricing, products, hiring, policy

Unit U03 goes deeper on ecosystem and data life cycle. Here you only need the map.

2. Who does what?

Role	Focus
Data analyst	Turn business questions into analysis and clear recommendations
Data scientist	Advanced models and experiments (often ML/statistics)
Data engineer	Pipelines, databases, reliable data flow
BI analyst	Dashboards and reports for ongoing monitoring

Unit U02 covers the analyst role and daily workflow in detail.

3. Analytical thinking

Curiosity — ask “why?” and “what if?”
Context — understand the business before crunching numbers
Technical mindset — check if data is trustworthy and complete
Clear communication — one number + short explanation beats a confusing chart

Watch the trap: correlation is not causation. Two things moving together does not always mean one causes the other.

4. Mini-scenario — retail shop

A shop owner notices sales dropped 15% last month.

Question: Which product categories declined the most?
Data: Export monthly sales by category from the POS.
Analysis: Compare this month vs last; rank by change.
Insight: “Beverages −30%, snacks flat, household +5%.”
Recommendation: Check beverage supplier pricing; run a targeted promo.

That is analytics in one story: question → data → evidence → answer → action.

Reflection (for your notes): Write one business question from your world that could be answered with data. Share it with your mentor — not graded in Odoo.

5. What comes next in this channel

U02 — The data analyst role & workflow
U03 — Data ecosystem & data life cycle
U04–U09 — Thinking, ethics, toolbox (this channel)

Ready? Take the lesson quiz on this page

Use the Quiz link in the lesson sidebar (or scroll to the quiz section below).

4 questions · you need 100% correct to complete this lesson

Wrong answers show a hint — review the lesson and try again. You earn karma when you pass.

When you pass → continue to U02 — The data analyst role & workflow

Data & Analytics Foundations

Completed

U01C — Ecosystem, roles & retail scenario