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| UTILITIES |
Are you confident of the risks you face in
your business and strategic planning?
With increased competition, reduced
resources, changing government regulations, and staff cutbacks, this is a challenging time
for business, including utilities. Whether you're creating a business case, determining pricing sensitivity, forecasting demand in competitive markets, or assessing
the financial risks in new project planning and technology, you need to account for the known uncertainty in your models.
To ignore the effects of uncertainty means to potentially expose your organization to unnecessary risk and potential failure. Your knowledge
and your toolset will make the difference between whether
your work succeeds or fails.
No matter what risks you face, Crystal Ball software
can help you find the specific solution for your needs. Crystal Ball is a Microsoft® Excel®-based suite of analytical tools that includes 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 cost and financial predictions and better informed business decisions.
"This software
is the best tool I have seen for trying to predict future
occurrences in a very uncertain time."
-- Steven
J. Campbell, Nelligan Power
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Today,
Crystal Ball is the tool chosen by more than 85% of the Fortune
500. Join the likes of Con Edison, Reliant Energy, Florida
Power & Light, Oklahoma Gas & Electric, Illinois Power
Co., Ruhrgas AG, and Pennsylvania
Power and Light who are using Crystal Ball for demand
forecasting, option valuation, capital budgeting, and new
business planning.
Low-cost
software and improved computing power can enable you to better
calculate the risks in your strategy or process. Crystal Ball
can help you better assess your alternatives, increase the
confidence you have in planning details, and make more informed
decisions despite a lack of data or an uncertain future.
Key
features of interest to your industry include sensitivity
and tornado analysis, correlation, and historical data fitting.
The sensitivity analysis and tornado analysis are two separate
methods that help you to understand which of the uncertain inputs
drive the uncertainty in your models. Correlation lets you link
uncertain inputs and account for their positive or negative
dependencies. If historical data does exist, the data fitting
feature will compare the data to the distribution algorithms
and calculate the best possible fit and parameters for your
data.
With Crystal Ball, you can:
- Replace min/max estimates with more accurate range of all possible outcomes
- Reduce the time required to produce forecasts,
- Eliminate multiple manual “what if” estimates,
- Mitigate your cost and schedule risks,
- Gain immediate insight to the inputs that drive uncertainty and most effect failure and success,
- Make knowledgeable decisions on where to focus resources, and
- Provide decision-makers with factual data that shows the risk associated with each choice.
LEARN MORE ABOUT CRYSTAL BALL FOR UTILITIES
This page offers links to a growing number of resources, including recorded Web seminars, articles, white papers, case studies, and example models. Additionally, you can view a list of common uses and examples reported directly from customers using Crystal Ball. You can also download a free trial version of Crystal Ball to see how it can help improve your business forecasts and decisions!
"Crystal Ball has changed the way
my organization performs business and market planning."
-- Christopher A. Grier, ConEd Nuclear
Services
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RECORDED WEB SEMINARS
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Power Asset Evaluations: Challenges in Dealing with Uncertainty
Simulation analysis of two separate gas fired power generation plants will be presented – the first one at the development and the second one at the operational stage.
Presented by Andrei Smilenov, Director Analysis and Planning at NiSource Inc.
Recorded February 6, 2007
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View recording
Download files
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Developing a Strong Energy Asset Portfolio Using the “Efficient Frontier” Approach
Explore how to develop a strong energy asset portfolio with a case study on power plants. The case study illustrates implementation of the “efficient frontier” approach to portfolio development.
Presented by Jim Letzelter, Partner, with Webb, Scott & Quinn
Recorded January 18, 2006
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View recording
Download files
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Capital Project Evaluation and Optimization with Crystal Ball Tools
Learn how to use time series forecasting to estimate future market share, how to use optimization of product pricing over product life to maximize profit, and how to perform valuation of strategic flexibility to expand production in strong market conditions.
The conclusions of the seminar focus on the dramatic transformation of the original single point-estimate profit forecast, into a more realistic and valuable assessment of expected profit, risk, and key drivers that guide management in its decision-making.
Presented by Steve Hoye, Senior Risk Consultant at Oracle
Recorded October 3, 2007
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View recording
No downloads |
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How To Use Crystal Ball In Your Economics Course: Weather Hedging In The Gas Industry
Learn how Crystal Ball can be used to analyze risk associated with hedging strategy using weather-based derivatives
Presented by Jiri Hnilica, Associate Professor at the Prague University of Economics
Recorded December 11, 2006
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View recording
Download files
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Valuation of Weather Derivatives
Weather-related risks affect businesses all over the world. This seminar presents an easy-to-use framework for valuation of weather derivatives and how to create actionable items to manage weather-related risks.
Presented by Jiri Hnilica, Associate Professor in the Department of Business Economics at the University of Economics in Prague, Czech Republic
Recorded July 12, 2007
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View recording
Download files
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WHITE PAPERS & ARTICLES
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CASE STUDIES
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Minnesota Power
Financial
Simulation via Crystal Ball Professional Aids Risk Management
At Minnesota Power |
Download
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EXAMPLE MODELS

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Toledo Gas
Detail: This company wants to forecast the gas needs of a region. The model highlights regression and other CB Predictor advanced functions. This model also contains macros and is an example for the CB Predictor Developer Kit. |
Download
For:
CB Predictor & Dev. Kit
Level:
Simple-moderate |
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COMMON USES & EXAMPLES
The following examples were provided by our customers and represent
only some of the potential utility-related applications for Crystal
Ball.
- Analysis
of contingency provisions for construction project capital estimates
- Analysis of storage sizing based on a delivery and consumption
model
- Analysis
of water flow rates at production facilities
- Analyze
rates, view probable and optimal results in new service plans
and customer relations services
- Assessing
the financial risks in new project planning and technology
- Decision making - strategic project evaluations
- Demand
simulation and distribution fitting
- Determine confidence Intervals to bound forecast for planning purposes
- Economic
forecasting in general planning unit
- Evaluate
product/product line/enterprise profitability (NPV & EVA)
- Evaluate railcar maintenance costs and components
- Monte Carlo
simulation of Market VAR & Credit VAR
- Modelling
macroeconomic and operating variables
- Optimize our power supply portfolio Produce the lowest cost at an acceptable risk Also optimize power generation projects
- Project
analysis, including maintenance and new service matters
- Risk modelling and assessments
- Weather insurance simulation
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