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Data Dare real estate L4 sticker: the findi360 mascot analysing Enterprise Property Network and Investment Performance.

DD-REA-004

Enterprise Property Network and Investment Performance

Decide where investment returns justify the capital, which markets carry the cash-flow risk, and how far the portfolio drifts when the forecast is wrong.

  • Real Estate
  • L4 · PARQUET
  • ~5,520,166 rows
  • 18 tables
  • 60 questions

Get the data

v1.0 · 6 files

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  • Question Book PDF DD-REA-004_Question_Book.pdf 1.3 MB · v1.0
  • Dataset Documentation / Data Dictionary XLSX DD-REA-004_Data_Dictionary.xlsx 18.9 KB · v1.0
  • Business Introduction PDF DD-REA-004_Business_Introduction.pdf 1.8 MB · v1.0
  • Relationship Diagram PDF DD-REA-004_Relationship_Model.pdf 51.4 KB · v1.0
  • Raw fact data FactPropertyFinancialEvents.parquet 533.3 MB · v1.0
  • Dimension / supporting data DD-REA-004_Supporting_Tables.zip 13.4 MB · v1.0

Questions

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  1. Q007 Medium Compare annual operating performance
  2. Q008 Medium Quantify year-on-year billing growth
  3. Q009 Medium Identify the strongest cash-collection month
  4. Q010 Medium Show how revenue accumulated during the reporting horizon
  5. Q011 Medium Identify the owner reporting population
  6. Q012 Medium Quantify the active contract-management population
  7. Q013 Medium Identify the largest revenue-contributing owner
  8. Q014 Medium Locate the highest owner-level arrears exposure
  9. Q015 Medium Measure near-term renewal workload
  10. Q016 Medium Identify the main billing category
  11. Q017 Medium Quantify property operating expenditure
  12. Q018 Medium Measure income after operating expenses
  13. Q019 Medium Measure operating profitability relative to billings
  14. Q020 Medium Track owner portfolio contribution through time
  15. Q021 Medium Establish geographical reporting coverage

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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