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- Q043 Very Hard Choose a forecast method for next month
- Q044 Very Hard Outlier months in net sales
- Q045 Very Hard Executive scorecard
- Q046 Very Hard Acquisition cohort value
- Q047 Very Hard Cost to serve by payment method
- Q048 Very Hard Channel-category margin matrix
- Q049 Very Hard Return behaviour by loyalty tier
- Q050 Very Hard Slowest inventory turn by category
General discussion
Anything about this dataset that is not one question — loading the files, which tool, how you set it up.
A free account takes a minute. Your draft is kept while you sign in.