Data Analytics for your organisation
Data for real estate companies
Compare real estate performance with attention to property, project, budget and period. A clear data model helps put operational and financial information in context without promising investment outcomes.
The examples on this page are hypothetical situations, not customer cases.
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01
Definitions that fit your practice
Distinguish a property, a project and any portfolio grouping. Link data to periods and define whether an amount means budget, commitment, invoice or actual. Also define how vacancy, renovation, shared costs and changed project phases are treated; compare only like periods and categories.
Make definitions concrete by recording the owner, source, measurement point, exclusions and useful breakdowns. A term such as “active” or “available” often needs a sector-specific agreement. Also note missing data and any provisional interpretation. Teams can then check a figure before linking it to a decision.
02
Start with management questions
Which properties need attention due to vacancy or maintenance? How do actuals compare with project budgets by phase and period? How do costs or rental income differ between locations when definitions are consistent? Such questions support management and planning but say nothing by themselves about future value or returns.
Use these questions as examples for prioritisation, not as an assumption that all information is already available. Agree which team reviews a signal, how often and what context is needed. A dashboard can make trends and exceptions visible; interpretation remains with people who understand the work.
03
Connect sources and data carefully
Bring property, lease, maintenance, project and financial records together where useful and permitted. Manage property and project keys carefully; a renumbered property may otherwise appear new. Account for posting date versus event date and document how corrections and cost allocations are reported.
Connect only data needed for the agreed question. Record source, refresh frequency, transformations and limitations. Check for missing values, duplicate records, unexpected shifts and changes to source fields. When data is not comparable, show that distinction rather than silently averaging it away.
04
Governance and responsible use
Breng object-, huur-, onderhouds-, project- en financiële registraties samen waar dat doelmatig en toegestaan is. Beheer sleutels voor objecten en projecten zorgvuldig; een hernummerd object kan anders als nieuw verschijnen. Houd rekening met boekingsdatum versus gebeurtenisdatum en noteer hoe correcties en kostenallocaties rapporteren.
Assign business ownership and align access rights with roles and purpose. Agree how corrections, retention and change requests are handled. Make clear to users what an indicator does and does not say. This helps prevent an operational measure from being read as a judgement of quality or social value.
05
A feasible first project
A focused start can cover one project or property group and one financial period. Compare budget versions with available actuals, trace variances to their sources and discuss them with project and finance owners. This clarifies whether definitions are suitable before reporting is expanded.
A focused first step is often to choose one question, inventory relevant sources and definitions, check a small dataset and validate findings with users. Decide in advance who owns the work and which decision the result should support. Only then select a reporting format or further automation.
Frequently asked questions
Which data source is needed?
That depends on the question. We map available sources, definitions and limitations with you; no specific system is assumed.
Can we start with existing reports?
Yes, existing reports can help explore definitions and information needs. Check how figures are constructed and whether source data is available for validation.
How do we support reliable figures?
Document lineage and definitions, run suitable quality checks and assign ownership. Reliability needs ongoing attention as sources or processes change.
What does an initial project deliver?
That is determined by scope, data and objectives. An initial project can clarify definitions, source quality and useful next steps, without guaranteeing an outcome in advance.
Discuss your question with Data Analytics
Which figures help your organisation move forward? Discuss your sources, definitions and information needs with Data Analytics.
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