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Data Dare real estate L3 sticker: the findi360 mascot analysing Property Portfolio Profitability and Revenue Leakage.

DD-REA-003

Property Portfolio Profitability and Revenue Leakage

Decide which properties in the portfolio actually make money, where vacancy and operating costs erode returns, and how much income leaks before it reaches the ledger.

  • Real Estate
  • L3 · PARQUET
  • ~500,000 rows
  • 12 tables
  • 50 questions

Get the data

v1.0 · 6 files

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  • Question Book PDF DD-REA-003_Question_Book.pdf 1.2 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-REA-003_Data_Dictionary.xlsx 16.6 KB · v1.0
  • Business Introduction PDF DD-REA-003_Business_Introduction.pdf 1.8 MB · v1.0
  • Relationship Diagram PDF DD-REA-003_Relationship_Model.pdf 48.4 KB · v1.0
  • Raw fact data FactPortfolioTransactions.parquet 36.7 MB · v1.0
  • Dimension / supporting data DD-REA-003_Dimensions.zip 1.3 MB · v1.0

Questions

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  1. Q013 Medium Reconcile billed income against actual cash
  2. Q014 Medium Measure the financial effect of vacancy
  3. Q015 Medium Show how revenue accumulated during the reporting horizon
  4. Q016 Medium Identify the largest revenue-contributing owner
  5. Q017 Medium Locate the highest owner-level arrears exposure
  6. Q018 Medium Measure near-term renewal workload
  7. Q019 Medium Measure the typical contractual commitment
  8. Q020 Medium Quantify contractual rental obligations
  9. Q021 Medium Identify the main billing category
  10. Q022 Medium Quantify property operating expenditure
  11. Q023 Medium Measure income after operating expenses
  12. Q024 Medium Measure operating profitability relative to billings
  13. Q025 Medium Quantify critical overdue exposure
  14. Q026 Medium Establish geographical reporting coverage
  15. Q027 Medium Quantify the external service-provider network
  16. Q028 Medium Locate the strongest regional revenue contribution
  17. Q029 Medium Identify the most profitable operating region
  18. Q030 Medium Locate geographical concentrations of arrears

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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