DD-RET-004
Enterprise Retail Profitability and Inventory Optimisation
Decide where actuals miss budget and whether volume or price is to blame, which suppliers put availability at risk, and where inventory should sit.
- Retail
- L4 · PARQUET
- ~6,000,000 rows
- 18 tables
- 60 questions
Get the data
v1.0 · 6 filesFiles are for members. A free account takes a minute, and you come straight back here.
- Question Book PDF DD-RET-004_Question_Book.pdf
- Dataset Documentation / Data Dictionary XLSX DD-RET-004_Data_Dictionary.xlsx
- Business Introduction PDF DD-RET-004_Business_Introduction.pdf
- Relationship Diagram PDF DD-RET-004_Relationship_Model.pdf
- Raw fact data DD-RET-004_FactSalesTransactions.parquet
- Dimension / supporting data DD-RET-004_Supporting_Tables.zip
Questions
Open one to discuss it- Q022 Hard Categories driving 2025 growth
- Q023 Hard Return-rate exception categories
- Q024 Hard Fulfilment lag for non-store channels
- Q025 Hard Repeat-customer rate
- Q026 Hard Customer retention into the final year
- Q027 Hard Decline-rate trend
- Q028 Hard Shrinkage as a share of sales by category
- Q029 Hard Fastest-growing region
- Q030 Hard Online share trend
- Q031 Hard Worst supplier on OTIF
- Q032 Hard Largest adverse budget variance by category
- Q033 Hard Distribution centre with the worst on-time inbound
- Q034 Hard Late deliveries by promised month
- Q035 Hard Single-sourced product exposure
- Q036 Hard Cost centre furthest below budget
- Q037 Hard Department margin comparison
- Q038 Hard Stockouts by supplying warehouse
- Q039 Hard Slip by supplier lead-time band
General discussion
Anything about this dataset that is not one question — loading the files, which tool, how you set it up.
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