Traditionally, real estate professionals use Excel for financial modeling due to its flexibility and transparency, allowing custom models with traceable calculations. However, this method can be time-consuming, error-prone, and inefficient for complex analyses.
Modern financial modeling software as ModelTree offers a streamlined alternative with pre-built templates and specialized features like rent forecasting and risk analysis. ModelTree enhance accuracy, speed up decision-making, and are better suited for complex real estate analyses.
See the detailed comparison in the table below:
EXCEL
MODELTREE
FLEXIBILITY
Low customization Customizable, can handle various structures and formats
Full customization Provides customizable and pre-built cash flow model templates for industry-specific needs
ERROR PRONENESS
Prone to errors Susceptible to logic and calculation errors
Difficult with complexity Challenging for complex data; requires cross-linking workbooks or VBA
Simplified complexity management Handles complex datasets seamlessly within a single database
SCENARIO MANAGEMENT
Manual and cluttered Manual file duplication for each scenario, leading to clutter
Streamlined and organized Scenarios saved in a database; comparisons are straightforward
INTEGRATION CAPABILITIES
Limited integration Manual updates; limited by VBA or external scripts
Automated integration Automatic data import from source systems or market data integrations
SCALABILITY
Limited scalability Becomes unwieldy as portfolio size increases
Highly scalable Easily scales with portfolio size and complexity
EASE OF USE
Manual and skill-intensive Familiar but requires manual effort and advanced skills (e.g., VBA)
Intuitive and visual User-friendly interface with visual cross-linking tools makes navigation intuitive and interactions seamless
TRANSPARENCY
Prone to modification errors Transparent formulas but prone to accidental modification
Transparent and secure Transparent calculations, yet safeguarded against accidental edits
DATA UPDATES
Manual and error-prone Manual, time-consuming, prone to errors
Automated and accurate Automated, reducing manual effort and increasing accuracy
COLLABORATION
Limited collaboration Multiple versions/files can cause confusion
Centralized collaboration Centralized database ensures consistency and multi-user access with various permission rights
COST OF ERRORS
High error costs High, especially in large portfolios or complex models
Reduced error risks Reduced through built-in validation and error resistance
LONG-TERM USABILITY
Maintenance-dependent Dependent on creator; maintenance can be challenging
Supported and upgraded Vendor-supported, with continuous updates and enhancements
REPORTING
Requires coding Generation of portfolio reports to Excel, Word, PDF requires usually VBA code
One-click reporting Generation of portfolio reports to Excel, Word, PDF requires a button click
INTEROPERABILITY WITH OTHER SYSTEMS
Requires custom coding Sending data from Excel files to other systems has to be set up via custom coding
API and automation Sending data from ModelTree to other systems is simple, no coding but via API or files out, automated or button click
Conclusion
While Excel remains a popular choice for real estate financial modeling due to its flexibility and transparency, it can be inefficient and prone to errors in complex analyses. Modern solutions like ModelTree provide a more efficient alternative with pre-built templates and specialized features, improving accuracy and decision-making while streamlining the modeling process.
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Country-specific cash flow models
Custom cash flow models
Data via integrations
Reporting functionalities
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