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MISCELLANEOUS APPLICATIONS


Crystal Ball is a Microsoft Excel®-based suite of analytical tools that adds to the power of Excel by including the ability to do Monte Carlo simulation, optimization, and forecasting. With little effort, you can apply these advanced analytical techniques to your new or existing spreadsheets to create more accurate financial and operational predictions and better informed business decisions.

This page describes several important applications of Crystal Ball software for which we do not yet have abundant materials.

Business Case Analysis
Business Intelligence
Litigation

 

 

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BUSINESS CASE ANALYSIS

This section offers links to a growing number of business case resources, including recorded Web seminars, articles, white papers, case studies, and example models. You can also download a free trial version of Crystal Ball to see how it can help improve your business forecasts and decisions!

download free trial

WHITE PAPERS & ARTICLES

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Business Case Development & Analysis
By Michael J. Stratton, The Boeing Company

download Download

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Business Intelligence Building Blocks: A Strong Business Case Gets Results
By John L. Doran, EnFORM Consulting, L.P.

download Download

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Quantifying Financial Risk in a Business Case
Michael Lionais, CMA, Manager Strategic Costing, Agriculture and Agri-Food Canada
CBUc 2007

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Using Simulation Modeling to Ensure ROI
By Henry Yennie, CNH Consulting (hosted on CNH Consulting Web site)

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RECORDED WEB SEMINARS

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Risky Business: Gain a Competitive Advantage by Learning How to Control Risk

Learn how to identify and then control uncertainty in your capital investment projects so you can take advantage of promising, yet risky, opportunities.

Presented by David Vose, of the Vose Consulting Group

Recorded February 2, 2006

View recording

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Mastering a Key Strategic Challenge: Sustained Value Creation through Business Cases

There are few tasks as important, or as difficult, as deciding upon a new strategic direction for your organisation. Many people still rely on traditional cost-benefit-analysis, NPV, ROI, and decision trees, when developing business cases. This seminar provide case studies with insights that helped decision makers create more valuable strategies, assure robustness and sustainability, and align their organisation for execution.

Presented by Dr. Volker E. Pollmann, Ph.D, a Managing Director at Solution Matrix

Recorded March 28, 2007

View recording

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NPV and the Impact of Risk

Learn how to integrate NPV with defined accounting measures like ARR and ROI.

Presented by John Casticas, Managing Partner, John Nicholas & Company

Recorded April 10, 2007

No recording

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I'll Be Back: DVD Sales Forecasting

Describes a methodology used to gauge how many DVDs to create for newly released movies, along with the challenge of determining how reliable past behavior is at predicting future behavior.

Presented by Michael Lieberman, President of Multivariate Solutions

Recorded April 24, 2007

View recording

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Aplicaciones de las Simulaciones de Monte Carlo (Crystal Ball) en la Valoración de Riesgos de Mercado

Los participantes observarán en el programa Crystal Ball la solución de diferentes módulos de valoración de riesgo de mercado.

Presented by Camilo Romero, Conferencista internacional y entrenador certificado en Crystal Ball y Real Options Analysis Toolkit

Recorded January 24, 2007

View recording

No downloads

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Providing What Decision Makers Need - Insights

Illustrate with case studies how to create decision frameworks that engage decision makers in a dialog that actively uses the insights that stochastic analysis tools can provide.

Presented by Dr. Gerald A. Bush, Ph.D., founder and chairman of Decision Strategies.

Recorded October 11, 2006

View recording

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EXAMPLE USES

The following examples were provided by our customers and represent only some of the business case applications for Crystal Ball.

  • Assessing statistical output of nondiscrete variables in securities investing
  • Business case analysis for new product line expansion and Six Sigma baseline and benefits
  • Conduct financial analysis during proposal preparation
  • Economic analysis of investment activities
  • Estimating schedule, financial and business risks
  • Forecasting, modeling and simulation
  • Help with deciding which real estate projects to undertake while optimizing returns for both our company and our equity investors
  • New business analysis, decisions and operational budgetary analysis
  • Project probabilities on upcoming business opportunities
  • Review Financial Models for Public Private Partnership projects regulated by the National Treasury, RSA, so as to give market confidence on procurement process of such projects.
  • Risk analyses associated with the preparation of business cases
  • Sensitivity analysis of projected public benefits of a proposed wireless broadband system -- analysis to be filed with the FCC
  • Strategic analysis
  • To have a better understanding in data. And to make better decisions.

TEXTBOOKS

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Analyzing and Managing Risky Investments
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Business Forecasting, 8e
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The Business Case Guide, 2/e
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Essentials of Business Statistics
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Financial Management: A Practical Guide to Value Creation
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Financial Modeling with Crystal Ball and Excel
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Quantitative Business Modeling, 1/e
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Quantitative Methods for Business, 8/e
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Scientific Financial Management : Advances in Financial Intelligence Capabilities for Corporate Valuation and Risk Assessment
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Stochastic Modeling: The New Way to Predict Your Financial Future
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Valuation and Pricing of Technology-Based Intellectual Property

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BUSINESS INTELLLIGENCE

This section offers links to a growing number of business intelligence resources, including recorded Web seminars, articles, white papers, case studies, and example models. You can also download a free trial version of Crystal Ball to see how it can help improve your business forecasts and decisions!

download free trial

RECORDED WEB SEMINARS

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Can BI Get Better? Add Risk Analysis To Business Intelligence And Accurately Measure The Significance Of Risk

Learn how to add Crystal Ball risk analysis software and stochastic methods to BI to measure the significance of the risk, highlight where change will be most effective and decide where to act. Bill will show, with a real-world case study of Real Estate sales performance, how to increase the power and relevance of your KPIs.

Presented by Bill Erwin, Applied Business Intelligence Specialist

Recorded June 14, 2006

View recording

download Download files

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LITIGATION

This section offers links to a growing number of litigation resources, including recorded Web seminars, articles, white papers, case studies, and example models. You can also download a free trial version of Crystal Ball to see how it can help improve your business forecasts and decisions!

download free trial

WHITE PAPERS & ARTICLES

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Damages Forecasting
Crystal Ball Suits Lawyer for Insurance Defense

download Download

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pdf Hocus Pocus: Using Crystal Ball to Bring Litigation in Focus
By Ellis R. Mirsky, Mirsky & Block, PLLC

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Monte Carlo Simulation in a Malpractice Lawsuit

Crystal Ball is used to help determine the settlement in a malpractice lawsuit

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Monte Carlo Simulation Shows Risk That Cash Settlements May Run Out
By Richard B. Risk, JD, CSSC

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Negotiating Financial Settlements
Pacific Bell Calls Upon Crystal Ball To Help Negotiate Financial Settlement

download Download

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Patent Licensing Valuations Employing Monte Carlo for Expert Witness Testimony
By Neil Kosterman, DeltaQuest LLC d/b/a LSI Group
cbuc 2004

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EXAMPLE MODELS

download free trial

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Decision Tree with Monte Carlo Simulation for Patent Defense
From:
Mark E. Zwolak, CFM

Detail: A decision tree is an excellent analytical technique to help you choose between several different options with different probabilities of success. When used with the Monte Carlo Simulation technique, you can further understand the probability profiles for each of the options presented as well as their overlapping profiles, which can help you to make a more educated and informed decision with regards to risk.

In this user-contributed example, a competitor is having success with selling a product in the marketplace that our internal general counsel believes is infringing
upon valid patents that we hold. Legal counsel believes that the probability of patent validity is 80% and that the probability of patent infringement is 80%.

To "win" the case, the patent must be valid and infringed. We, as a company, have 2 basic options - 1) litigate 2) do nothing. Should we litigate we would have 3 basic outcomes - 1) litigate and win 2) litigate and lose and 3) settle for a royalty rate. Using Monte Carlo simulation and a decision tree structure points the way to the level of risk related to each of these options.

download Download

For:
Crystal Ball
Level:
Simple

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