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- Q013 Medium Peak sales month
- Q014 Medium Weakest sales month
- Q015 Medium Year-on-year net sales growth
- Q016 Medium Best margin month
- Q017 Medium Highest stockout month
- Q018 Medium Strongest quarter
- Q019 Medium Cumulative net sales to period end
- Q020 Medium Store with the best margin rate
- Q021 Medium Channel with the highest return rate
- Q022 Medium Top supplier by sales
- Q023 Medium Returns by return month
- Q024 Medium Same-day fulfilment rate
- Q025 Medium Payment method with the highest decline rate
- Q026 Medium Processing fees paid
- Q027 Medium Top customer by spend
- Q028 Medium Loyalty tier with the highest spend per transaction
- Q029 Medium Inventory shrinkage value
- Q030 Medium Region with the highest margin rate
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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