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Oracle Corporation

Crystal Ball: Tomorrow's Forecast
If you cannot read this newsletter, you can view it online at
http://www.crystalball.com/newsletters/newsletter216.html

January 10, 2008 | Issue 216 | www.crystalball.com
Oracle Corporation
 INDEX

What’s New
- Happy New Year
- Life Science FREE Public Seminar
- Life Science Web Seminars
- Central European Risk Conference

Crystal Ball® Resources

- Life Science Web Seminars On Demand
- Winter Simulation Conference Resources
- White Paper: Pharmaceutical Product      Design
- Risk Tip: The Cumulative Ascending      Distribution (Tip 5 of 5)

Monte Carlo in the News
- Mitigating Capability Risk
- NASA Constellation System

Risk Analysis & the Web
- Contingency Analysis

Crystal Ball Training Class Schedule

CBUG Discussions


WHAT'S NEW

Happy New Year from Oracle's Crystal Ball Global Business Unit. We hope you have all recovered from the holiday season and are ready to kick off a successful 2008. Crystal Ball's January 2008 industry focus is Life Sciences. Plan on attending any or all of the events this month. We look forward to seeing you there!
oracle

Sincerely,

The Crystal Ball Global Business Unit


Life Sciences/Pharmaceutical FREE Public Seminar in Boston

Date: Wednesday, January 23, 2008
Time: 10:00 A.M. - 2:00 P.M. (EST) pharma
Location: Boston, MA at the The Westin Boston Waterfront

Join us for a FREE Crystal Ball Public Seminar.  This half-day event will feature two speakers who will teach attendees new applications and best practices for using Crystal Ball for the Life Science and Pharmaceutical industries.

The two presenters will be:

Gary Bush, Managing Director for Decision Strategies, presenting, "Parametric Modeling in Evaluating New Drug Development Strategies."

"Defining a target product profile and forecasting sales year by year can create blind spots about the sources of uncertainty and risk in a new product development.  Comparing alternative strategies to create transparency of the complete picture for optimal decision making is the real goal.  By framing distinctly different ideas, the value of a more aggressive (versus targeted) approach will be clear.  By quantitatively modeling the key parameters that drive the forecast and clinical risk, insights into where there is value of gathering additional information or investing to gain control can lead to greater confidence and significantly reduce risk.  This talk will illustrate the framing methods and parametric modeling approach to enable this clarity, together with examples of how the Crystal Ball tools are used in this type of parametric model."

Brian Malejan, Staff Consultant for Oracle's Crystal Ball Global Business Unit, presenting, "Crystal Ball and Life Sciences."

"We will be examining a life science model including both a top down and a bottom up forecast.  We will apply Crystal Ball to these forecasts and see how simulations can be run from both types of forecasts.  It is important, when modeling in this way, to take into account the inherent variability existent rather than just looking at single static values in order to get a realistic view of the values we are forecasting.  We will also examine how Crystal Ball can run time-series forecasting on historical data in the life science industry.  In doing this, we will examine level, trend and seasonality to better understand our data and make the most accurate prediction possible." 

              westin

This event will take place in Boston, MA on Wednesday, January 23, 2008, from 10:00 A.M. - 2:00 P.M. (EST) at the Westin Boston Waterfront. Lunch will be provided.

For more information and to register for this event, contact Jackie Farritor (jackie.farritor@oracle.com), 303.334.6808.

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Upcoming Web Seminars
Web Seminars

Optimizing Pharmaceutical Sales Forces Territories

Date: Tuesday, January 22, 2008
Time: 9:00 A.M. MST (Denver)
Location: Your desk

How should pharmaceutical firms allocate fair and efficient sales territories to their sales representatives?  How can the many variables be incorporated into a model to come up with an optimum allocation of sales territories?  Furthermore, how can this process be automated and updated as the company's markets expand and change.  Learn how an optimization model was created to help a large pharmaceutical company efficiently allocate sales force territories.

Presented by Dr. Francisco Zagmutt, Senior Risk Analyst with Vose Consulting.

> Register to attend this Web seminar

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Web Seminars

Driver Based Revenue Forecasting

Date: Tuesday, January 29, 2008
Time: 9:00 A.M. MST (Denver)
Location: Your desk

There are many basic financial questions in the pharmaceutical industry that are hard to answer:  Why are sales growing/not growing? Why are we under/over budget?  In this one-hour Crystal Ball Web seminar, attendees will learn the benefits of establishing revenue forecasting standards with a focus on revenue models, business processes, and supporting analytics. 

Presented by John Grecsek, Finance Director, World Wide Operations, Pfizer.

> Register to attend this Web seminar

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Central European Risk Analysis and Risk Management Conference

This event is organized by Corvinus University of Budapest , and sponsored by SzigmaSzerviz Ltd. Budapest. The objective is to share information about new developments in risk management-related research (integrated risk management method and software); examples on recent trends and best practices in risk management (strategic, financial, operational and project risks); and to introduce Crystal Ball software to the risk analysis and predictive analytics audience.

Date: April 11, 2008
Time: 8:00 A.M. - 4:30 P.M. (welcome reception April 10 from 6:00 P.M. - 8:00 P.M.)
Location: Corvinus University of Budapest, Auditorium No. III

Who should attend:

  • Decision makers, internal auditors, financial managers, project management and risk management experts from industry, public administration and banking sector interested in having more information about risk management and the associated best practice.
  • Project management and risk management experts from universities and project management and risk management associations.

Participation fee (includes conference documents, food and beverages during breaks and the welcome reception) :

  • EUR 150 until January 31, 2008
  • EUR 200 from February 1- April 1, 2008

For more information or to register, click here.


RESOURCES

On Demand Life Science Web Seminars Web Seminars

These Life Science Web Seminars are available to view at your convenience. They cover a wide range of topics relating to the Life Science industry. Topics include:

Learn how stochastic analysis can be used in the valuation of both early and late stage drug discovery pipelines to understand the risk-adjusted value of the pipeline and determine how to increase the expected monetary value (EMV).

> View all Crystal Ball on demand Web seminars.

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Winter Simulation Conference 2007 Resource

wsc07

The Winter Simulation Conference 2007 occurred in Washington D.C., Dec. 9-12, 2007.
It was the fortieth anniversary of the Winter Simulation Conference, featuring a comprehensive program ranging from introductory tutorials to state-of-the-art research and practice. The conference included student presentations, exhibits, training sessions by software vendors, business meetings for professional societies and software user groups.

The program, abstracts, and full papers are now available here: Winter Simulation Conference 2007 Resources

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White Paper
Risk Resources
Monte Carlo Simulations For Risk Analysis In Pharmaceutical Product Design
Bir Gujral, Freeman Stanfield, Doug Rufino
DSM Pharmaceuticals Inc.

Source: 2007 Crystal Ball User Conference

Risk analysis is one of the essentials of Process Analytical Technology (PAT) being adopted in the Pharmaceutical Industry as per the new guidance of the FDA. Under PAT, the quality is designed into a Pharmaceutical product, rather than established by testing of a finished batch. The traditional spreadsheet analysis of quality outcomes does not give any probability information on quality.

In PAT, the critical product quality variables are identified from the historic data. Crystal Ball software
is run on critical parameters to build Monte Carlo simulation models. The simulation model provides probability data for almost all possible outcomes by analyzing the statistics of simulations. The probability of quality in the final product can be predicted with confidence.

> View the entire white paper

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Risk Tip

How to use the Custom Distribution in Crystal Ball – The Cumulative Ascending Distribution (Tip #5 of 5)

Introduction

The Custom distribution in Crystal Ball is arguably the most versatile, but also one of the most difficult distributions to correctly use within Crystal Ball. In fact, using the Custom distribution, a Crystal Ball software user can construct five different kinds of distributions (see Table below).

Risk Analysis Tip

Distribution

Name used in Crystal Ball User Manual

Tip 1

Discrete Uniform distribution

"Unweighted values"

Tip 2

Discrete distribution

"Weighted values"

Tip 3

General distribution

"Sloping continuous ranges"

Tip 4

Histogram distribution

"Continuous ranges"

Tip 5

Cumulative Ascending distribution

"Sloping continuous cumulative ranges"

Each of these five distributions has a different use and application. The way the custom distribution “knows” which of the above five to make for you totally depends on the format of your input data ("date entry rules").

The goal of this Risk Analysis Tip Series is to make you aware of the five different distributions that you can construct using the custom distribution and their various uses. The five Tips will also provide detailed instructions on how to format your data to construct the five different distributions with the custom distribution.

> View the Full Risk Tip (#5 of 5)

Share a comment, risk analysis tip or a new Crystal Ball Tip with your fellow Crystal Ball users! Send your contribution to newsletter@crystalball.com.

> Previously published tips and techniques

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MONTE CARLO IN THE NEWS

Mitigating Capability Risk
Source: The Agile Manager, December 28, 2007

With the cost of capital on the rise, the need to focus on returns is much more acute. Unfortunately, IT has not traditionally excelled at maximizing returns. Industry surveys consistently show that a third to a half of all IT projects fail outright or significantly exceed their cost estimate. Delays are costly: IRR craters 25% if a $5mm / 12 month project with an estimated annual yield of $30mm is four months late. Monte Carlo simulation that factors the most common project risks, including schedule, turnover, and scope inflation, will consistently show that the probability of delivery being made three months late or later is greater than the probability that delivery will occur early, on time, or within one month of delivery.


ASRC Aerospace Contributes to NASA's Constellation System
Source: Reuters, January 8, 2008

NASA recently awarded ASRC Aerospace a three-year extension to the original five-year University-affiliated Spaceport Technology Development Contract (USTDC). As part of this contract ASRC Aerospace
is contributing to the design, development and activation of NASA's ground support equipment and systems used for processing the Constellation Program elements at Kennedy Space Center. ASRC Aerospace tailored a Monte Carlo simulation program to perform the analysis for the Pad 39B Lightning Protection System. The analysis resulted in validating a three-tower design concept thus providing a considerable cost savings compared to the original four tower design concept.


Read about Monte Carlo simulation in a recent article or paper? Let us know! Send your citation to newsletter@crystalball.com.

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RISK ANALYSIS AND THE WEB

Contingency Analysis

Contingency Analysis is a family of Web sites, a comprehensive resource for trading, financial engineering and financial risk management. Here you will find a glossary linked to detailed articles, an active discussion forum, book reviews, research and much more. The site is a valuable resource for risk analysis and predictive analytics in any field.

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TRAINING SCHEDULE

Intro and Advanced Crystal Ball

USA and CANADA

New Orleans, LA: Jan. 15-16
Chicago, IL: Jan. 15-16
New York, NY: Jan. 23-24
Indianapolis, IN: Jan. 23-24
Dallas, TX: Jan. 29-30

Boston, MA: Feb. 5-6
San Francisco, CA: Feb. 5-6
Seattle, WA: Feb. 12-13
Cedar Rapids, IA: Feb. 12-13
Rochester, NY: Feb. 12-13
Hartford, CT: Feb. 20-21
Toronto, ON: Feb. 20-21
Milwaukee, WI: Feb. 26-27
Washington, DC: Feb. 26-27

EUROPE

Visit the Web site for updates

LATIN AMERICA

Visit the Web site for updates

ASIA / AUSTRALIA

Visit the Web site for updates



Advanced Crystal Ball for Oil & Gas

Dallas, TX: Feb. 11-12
Houston, TX: Feb. 12-13
Calgary, AB: Mar. 18-19

Crystal Ball Applications for Six Sigma

Denver, CO: Jan. 31
Seattle, WA: Feb. 14

Introduction to Real Options

New York, NY: Jan. 25

Spreadsheet Modeling Techniques for Business: Best Practices

Pittsburgh, PA: Mar. 6

Suggest a training
date or location

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CRYSTAL BALL USER GROUP DISCUSSIONS

The Crystal Ball User Group (CBUG) is a Yahoo!® online forum where Crystal Ball users can discuss issues and methods related to Crystal Ball software.cbug


Latest topics:

  • DefineAssumND with custom distribution
  • Forecast filtering with values obtained from another forecast
  • Adjusting Correlation Coefficients

> Click here to visit CBUG and register to become a member


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