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Data Dare retail L3 sticker: the findi360 mascot analysing Omnichannel Sales, Customer Behaviour and Commercial Risk.

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 files

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  • Question Book PDF DD-RET-003_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-RET-003_Data_Dictionary.xlsx 13.2 KB · v1.0
  • Business Introduction PDF DD-RET-003_Business_Introduction.pdf 613.9 KB · v1.0
  • Relationship Diagram PDF DD-RET-003_Relationship_Model.pdf 615.3 KB · v1.0
  • Raw fact data DD-RET-003_FactSalesTransactions.parquet 14.2 MB · v1.0
  • Dimension / supporting data DD-RET-003_Dimensions.zip 3.6 MB · v1.0

Questions

Open one to discuss it
  1. Q043 Very Hard Choose a forecast method for next month
  2. Q044 Very Hard Outlier months in net sales
  3. Q045 Very Hard Executive scorecard
  4. Q046 Very Hard Acquisition cohort value
  5. Q047 Very Hard Cost to serve by payment method
  6. Q048 Very Hard Channel-category margin matrix
  7. Q049 Very Hard Return behaviour by loyalty tier
  8. 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.

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