DD-RET-003
Omnichannel Sales, Customer Behaviour and Commercial Risk
Decide how online is shifting the mix, which customers come back, where payments fail, and which categories bleed value through shrinkage.
- Retail
- L3 · PARQUET
- ~500,000 rows
- 12 tables
- 50 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-003_Question_Book.pdf
- Dataset Documentation / Data Dictionary XLSX DD-RET-003_Data_Dictionary.xlsx
- Business Introduction PDF DD-RET-003_Business_Introduction.pdf
- Relationship Diagram PDF DD-RET-003_Relationship_Model.pdf
- Raw fact data DD-RET-003_FactSalesTransactions.parquet
- Dimension / supporting data DD-RET-003_Dimensions.zip
Questions
Open one to discuss it- Q031 Hard Categories driving 2025 growth
- Q032 Hard Pareto categories for net sales
- Q033 Hard Store risk score
- Q034 Hard Margin change: rate versus mix
- Q035 Hard Return-rate exception categories
- Q036 Hard Fulfilment lag for non-store channels
- Q037 Hard Repeat-customer rate
- Q038 Hard Customer retention into the final year
- Q039 Hard Decline-rate trend
- Q040 Hard Shrinkage as a share of sales by category
- Q041 Hard Fastest-growing region
- Q042 Hard Online share trend
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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