FundQuill VS @RISK

• Integrity audit
  Finds circular references and error cells such as #REF!, #DIV/0! and #NAME? across the workbook.
• Formula checks
  Flags inconsistent formulas and hard-coded numbers sitting where a formula should be.
• Suggested fixes
  Proposes a fix for totals that accidentally include themselves.
• Dependency map
  Traces any number to the cells behind it and the cells that depend on it, including circular chains.
• What-if recalculation
  Change an assumption and watch the outputs recompute. Free, no account.
• Scenarios and stress tests (Pro)
  Build scenarios and stress-test the assumptions the model depends on.
• Sensitivity and tornado tables (Pro)
  See which inputs move the result most.
• Monte Carlo simulation (Pro)
  Simulate the model to see the range of outcomes, not just one answer.
• Signed report (Pro)
  Export a signed report that the recipient can check for free.
• Model templates (Pro)
  20 templates for M&A and private equity, venture capital, real estate and CFO work.
• Shared assumption libraries (Firm)
  Keep one set of assumptions the whole firm works from.
• No upload
  The workbook, its formulas and its numbers stay on your own computer and are never sent to a server.

• Comprehensive Risk Analysis
  @RISK provides a detailed and comprehensive risk analysis by using Monte Carlo simulation, which allows users to understand the variability and uncertainty in their models.
• Excel Integration
  @RISK is integrated directly with Microsoft Excel, making it intuitive for users who are familiar with Excel to build their models and perform risk analysis without needing to learn a new interface.
• Scenario Analysis
  The software allows users to perform scenario and sensitivity analysis, enabling a deeper understanding of which variables have the greatest impact on their models.
• Reporting and Visualization Tools
  It offers a variety of tools for reporting and data visualization, making it easy to present findings to stakeholders in a clear and impactful way.
• Custom Distributions
  @RISK provides flexibility with custom distributions, allowing users to fit their data to a wide range of probability distributions.

Possible disadvantages

• Complexity for Beginners
  The software can be complex for beginners or those not familiar with statistical modeling and Monte Carlo simulations, potentially requiring significant time to learn effectively.
• Cost
  @RISK can be expensive for individual users or small businesses, which might be a barrier compared to other simpler or free alternatives.
• Excel Dependency
  Being a tool that works within Excel, its performance and capabilities are limited by the functionalities and limitations of Excel itself.
• Resource Intensive
  Running large simulations can be resource-intensive, requiring significant processing power and potentially leading to performance issues on less powerful hardware.
• Steep Learning Curve for Advanced Features
  While basic features might be easy to grasp, mastering the advanced features and functionalities of @RISK could require extensive training and experience.