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11.4.3: Hands-On Lab Exercise

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    Hands-On Lab Exercise

    Lab: Designing a BI Solution

    Scenario:

    RetailMax has sales data in an OLTP database, inventory data in spreadsheets, and customer feedback in a CRM. The VP wants a weekly sales performance dashboard.

    Instructions:

    1. Architecture Design (20 min): Design a 3-tier BI architecture for RetailMax. Specify: data sources, ETL process, warehouse schema (star schema with at least one fact table and three dimension tables), and front-end tool.

    2. Star Schema (25 min): Design a star schema for retail sales analysis. Draw the fact table (sales_fact) with measures (revenue, units_sold, discount_amount) and dimension tables (time_dim, product_dim, store_dim, customer_dim) with their key attributes.

    3. OLAP Queries (15 min): Write 5 analytical SQL queries against your star schema: (a) total revenue by product category and quarter, (b) top 10 stores by units sold, (c) year-over-year revenue comparison, (d) average discount by customer segment, (e) revenue trend by month for the last 2 years.

    4. Dashboard Design (20 min): Design the VP's weekly dashboard. Include: 3-4 KPIs at the top, 3-4 charts (specify types), filters (time period, region, product category), and layout sketch.

    5. OLTP vs OLAP Comparison (10 min): Using RetailMax as context, write one example OLTP query and one OLAP query. Explain why each is suited to its respective system.

    Deliverables:

    Architecture diagram, star schema diagram, 5 SQL queries, dashboard design sketch, OLTP/OLAP comparison.

    This page titled 11.4.3: Hands-On Lab Exercise was last modified on Thu, 17 Sep 2026 03:15:15 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Felix Amoruwa.

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