- About Quantrix
- Solutions
- Products
- Services
- Sample Models
- Learning
- Learning Overview
- New in Quantrix 3.0
- Video Demos
- Webinar Series
- Quick Guide
- User Guides
- Modeler Notes
- Marketing Response Curve Model
- Pivoting Data
- Quantrix in Corporate Budgeting
- Using Expressions in Quantrix
- Performing a Sales Analysis
- Indirect() w/Capex & Depreciation
- Analyzing ARM vs. Fixed Mortgages
- Integrated Financials Models
- Leveraging the @ and # Operators
- Using Circular References
- Converting Spreadsheets to Quantrix
- Using Functions with Black-Scholes
- Using Statistical Functions
- Using Quantrix in Capital Budgeting
- Working with Scenario Categories
- Whitepapers
- FAQ
- Support
- Store
LEARNING
Whitepapers
This whitepaper discusses the concept of the Forecasting Value Chain. Specifically, it addresses:
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- The stovepipes encountered by forecasting groups within organizations
- How integrated forecasting and business modeling solutions can eliminate data stovepipes
- Results to the business when organizations are able to implement and achieve a Forecasting Value Chain.
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Quantrix and Excel: 3 Key Differences
This whitepaper is designed to educate spreadsheet users about three key conceptual and practical differences between Quantrix Modeler and Excel. This paper examines the following:
- Quantrix matrices compared to worksheets,
- Quantrix items compared to spreadsheet rows and columns, and
- Quantrix formulas compared to spreadsheet cell-based formulas.
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You Can't always get from A to B by Way of X and Y
In this whitepaper, learn how the financial industry can attain new levels of business clarity and improved decision-making with the power of Quantrix’s dynamic multidimensional modeling capability. This case study illustrates specific applications and benefits for professionals engaged in complex, mission-critical financial modeling. This pdf is 306 KB.
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Using XBRL and Quantrix Modeler to Analyze Financial Statements
This whitepaper was written by Professor Luca Erzegovesi, Department of Computer and Management Sciences, at the University of Trento in Italy. This independently-authored paper is intended to accomplish the following:
- Provide a brief presentation of the XBRL language and its applicability to financial analysis;
- Define the requirements of a software application supporting financial analysis and planning capable of processing financial data in the XBRL format;
- Describe the potential of Quantrix Modeler, a multi-dimensional spreadsheet software, as a platform for implementing XBRL-enabled financial models.
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You can also download the model file used in this white paper. The model file is 345KB. Click here to download.