Portfolio disclosure: This is simulated UAT using fictional, deterministic data. It is not real business acceptance, stakeholder sign-off, deployment evidence, or production validation.
The fictional Meridian Industrial Supplies scenario uses fragmented spreadsheets, email, and messaging to manage B2B orders. Operations needs a consistent view of order status, ownership, deadlines, workload, issues, and bottlenecks.
The objective was to determine whether the implemented portfolio package provides a credible, repeatable hand-off for operational review. The walkthrough uses three simulated roles:
Scope covers the synthetic SQLite database, SQL views/query pack, deterministic Python pipeline, 14-sheet Excel output, requirements traceability, and Power BI design specification. Representative scenarios include reviewing order status, identifying overdue orders, examining team workload, investigating the NEW-stage bottleneck, reviewing issue resolution, rerunning the pipeline, and assessing the proposed Power BI hand-off.
Detailed scenarios are in UAT_SCENARIOS.md; scenario-by-scenario outcomes are in UAT_RESULTS.md.
Evidence includes 02-Database/OOAMS-DB-001.db, the schema and SQL query pack, generator reproducibility checks, Python pipeline execution, the 14-sheet workbook contract, pytest, the Power BI design PDF, and the documented fixed seed 42 / snapshot date 2025-09-12.
Implemented and verifiable database, SQL, Python, reproducibility, and workbook checks are PASS. Power BI visual/dashboard acceptance is BLOCKED because no .pbix or real stakeholders are included. Production sign-off is N/A because there is no deployment, live integration, operational ownership, or production control evidence.
Accepted as a portfolio prototype and testable analytics hand-off. Not accepted as a real operational system or business deployment. The result demonstrates traceability and reproducibility without claiming business impact.
Data is synthetic and intentionally small. There are no real users, live integrations, security review, production monitoring, stakeholder approval, or verified business outcomes. Next steps would be to build and visually review the Power BI report, run a facilitated UAT with named business users and agreed test data, record defects and approvals, and complete operational-readiness checks.