Analytics Documentation Practice

The brief

What needed to be solved.

Three analytics projects, three audiences, three documentation requirements. A Nigerian e-commerce marketplace needed cleaned data and an executive memo. A distributor needed a dashboard with findings written for operators. A retail bank needed a dimensional warehouse with engineering documentation.

The brief I gave myself was simple: package all three as if they shipped to internal teams. Same document template across all artifacts. Same writing register. Same standard for what counts as decision-ready output.

The constraint

What made it interesting.

Most analytics portfolios show the output. Fewer show the documentation. This project treats documentation as the product: the place where methodology, limitations, query logic, model design, and operating risk become readable.

The work is grouped into three case studies: Marketplace SQL Analytics, Distributor BI Dashboard, and Bank Warehouse Design. Each one includes browser-readable PDFs and editable source documents in the repository.

The build

What was assembled.

Marketplace SQL Analytics: PostgreSQL cleaning, eight business queries, an executive memo, methodology report, data quality audit, and query documentation pack.

Distributor BI Dashboard: Tableau dashboard work with a methodology report and a findings report built around six findings and five recommendations.

Bank Warehouse Design: PostgreSQL star schema, SCD Type 2 logic, surrogate keys, a dimensional model design, data dictionary, and ETL operations runbook.

The result

What changed after it ran.

Ten finished documents share one template, heading hierarchy, table of contents pattern, chart treatment, and footer system.

Claims anchor to specific numbers and limitations are stated openly instead of hidden behind presentation language.

Anti-slop checks across the bundle returned zero hits for the filler patterns called out in the project repository.

Document previews

Artifacts from the work.

Stack