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Data Dare cash flow planning L2 sticker: the findi360 mascot analysing Mizan Group: How Good Is the Treasury's Forecast? — Cash Flow Planning.

DD-CFP-002

Mizan Group: How Good Is the Treasury's Forecast? — Cash Flow Planning

Three companies' bank accounts line by line - 54,206 rows to June 2026 as CSV and the latest quarter as Parquet - and the treasury's 13-week forecast published every Monday (144 versions per company, JSON). Plus the treasury calendar, the loans and their minimum-cash covenants, the category mapping, the companies and the counterparties. There is no calendar. How good is the forecast - and where does it go wrong?

  • Cash Flow Planning
  • L2 · CSV
  • ~54,206 rows
  • 8 tables
  • 40 questions
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v1.0 · 6 files

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  • Question Book PDF DD-CFP-002_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-CFP-002_Data_Dictionary.xlsx 11.8 KB · v1.0
  • Business Introduction PDF DD-CFP-002_Business_Introduction.pdf 614.2 KB · v1.0
  • Relationship Diagram PDF DD-CFP-002_Relationship_Model.pdf 614 KB · v1.0
  • Raw fact data DD-CFP-002_FactBankTransactions.csv 4.4 MB · v1.0
  • Dimension / supporting data DD-CFP-002_Dimensions.zip 329.5 KB · v1.0

Questions

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  1. Q017 Medium Manufacturing's tightest Sunday
  2. Q018 Medium Covenant breaches
  3. Q019 Medium The thinnest headroom
  4. Q020 Medium Logistics' near-term bias
  5. Q021 Medium Thirteen weeks out
  6. Q022 Medium How wrong a week ahead
  7. Q023 Medium Whose supplier forecast is furthest off
  8. Q024 Medium Cash that was never coming
  9. Q025 Medium Where the group was meant to be
  10. Q026 Medium The next quarter
  11. Q027 Medium Operating cash in 2025
  12. Q028 Medium Payroll against plan
  13. Q029 Medium Tax against plan
  14. Q030 Medium The dividend against plan
  15. Q031 Medium The Monday run in value
  16. Q032 Medium The best forecaster
  17. Q033 Medium How often the cards settle
  18. Q034 Medium Who owns the bank
  19. Q035 Medium Did Logistics learn
  20. Q036 Medium Retail's heaviest month

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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