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Are you confident of the risks you face in your business
and strategic planning?
- Can you deliver a forecast on the probability that
customers will accept changes in service?
- Are you able to confidently forecast the demand for,
and potential profits of, new products?
- Can you create graphs and charts that quantify the
risks associated with mergers and acquisitions?
- Can you pinpoint the key variables that affect the success
of an expansion into new markets?
When your management and colleagues want to understand the risks of your business decisions,
what do you tell them?
Whether you're analyzing customer needs to align them with product offerings, creating a business case, determining pricing sensitivity, forecasting demand in competitive markets, modeling call handling for a phone center, or valuing financial options, 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. Not to mention your own prospects!
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. |
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Crystal Ball software is for anyone who uses
spreadsheets and needs to forecast uncertain results.
Financial analysts, marketers, product managers, and engineers
all rely on Crystal Ball to improve the quality of their
decision making processes (see our list of common applications
below).
Today, Crystal Ball is the tool chosen by
top telecommunications companies and more than 85% of the Fortune
500. Companies such as Sprint, Qwest, and Nortel rely
on Crystal Ball to manage risk and make more informed
business decisions.
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.
Key
features of interest to your industry include sensitivity
analysis, correlation, and historical data fitting. The sensitivity
analysis helps you to understand which of the uncertain input variables
are most critical and drive the uncertainty of your cost
model. 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.
LEARN MORE ABOUT CRYSTAL BALL FOR TELECOMMUNICATIONS
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!
"Doing a business case analysis
without Crystal Ball is like driving with your lights
off at night."
-- Chad Lander, Senior Financial Analyst, Sprint |
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RECORDED WEB SEMINARS
Look for listings in the near future.
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WHITE PAPERS & ARTICLES
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Enhancing
the Telecommunications Decision Support Process
By Chad Lander & Jay Harrison |
Download |
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How to Combine
Forecasts and Risk Analysis to Bring Together Disparate Business
Units
By Paul Twenter |
Download
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Price Optimisation By Using Business Risk Analysis and Game Theory
By Dr. István Fekete, Business Services Line of Business Matáv Rt., (Hungarian Telecommunications Co. Ltd.)
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Download
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Telecommunications Network Evolution Decisions: Using Crystal Ball and OptQuest for Real Options Valuation
By John M. Charnes, Barry R. Cobb, The University of Kansas School of Business
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Download
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CASE STUDIES
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Sprint on
Real Options in Telecommunications |
Download
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Interpreting Market
Demands
France Telecom Calls on Crystal Ball to Interpret
Market Demands |
Download
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Designing Portable
Products
Motorola Labs Engineers Apply Crystal Ball Pro to
Improve the Design of Portable Products |
Download
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Provisioning Customers
Sprint Calls on Crystal Ball to Properly Provision
Customers |
Download
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EXAMPLE MODELS

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Call Center Volume
From: Created by Ray Covert, rpcovert@yahoo.com
Detail: This spreadsheet model calculates the predicted
over capacity and under capacity of a call center. The model is
applicable to any problem approximating a queuing theory service
problem such as bank teller lines, web site bandwidth, and help
desk capacity. By calculating the percentiles during days of the
week and time blocks during the day, the model shows where the number
of calls exceeds the capacity of the staff to service the calls
or where the call center is overstaffed. |
Download
For:
Crystal Ball
Level:
Simple-moderate |
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Network Simulation
From: Mark Cronshaw, Management Science Applications group,
AT&T Labs-Broadband, Westminster, CO, mbcronshaw@broadband.att.com .
Detail: AT&T Broadband is a company providing video, high
speed Internet and telephony services. Network capacity planning
is an important issue as we introduce new services. Demand for new
services is highly variable. Crystal Ball can be used to model the
impact of variable demand on a network. |
Download
For:
Crystal Ball
Level:
Simple |
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Product Forecasting - Interactive TV Sales
Detail: This model examines a product marketing and forecasting analysis of an emerging media product, Interactive TV (ITV). Colorado Cable has created a discounted cash flow (DCF) analysis that examines the success of the product over a six-year period. Monte Carlo simulation and time-series forecasting are used to provide a greater understanding and quantification of the risks inherent in a spreadsheet-based business forecast.. |
Download
For:
Crystal Ball &
CB Predictor
Level:
Simple |
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COMMON USES & EXAMPLES
The following examples were provided by our customers and represent
only some of the potential telecommunications applications for
Crystal Ball.
- Analyzing customer needs to align them with product offerings
- Analyzing queuing patterns for digital telecom network
- Business case analysis for new and existing products and services: Product line analysis, sales target analysis, rate development analysis, product bundle analysis, contribution margin analysis
- Cost and time estimates
- Design for Six Sigma Analysis
- Determining pricing sensitivity
- Developing Financial Forecasts
- Evaluating the fair value of outsourced contracts
- Financial analysis of other alternative management actions for the parent, subsidiary, or consolidated company
- Forecasting demand in competitive markets
- Long Range Forecast modeling and analysis
- Modeling call handling for a phone center
- Monte Carlo simulation on communications systems models
- Negotiating contract pricing
- New business analysis, decisions and operational budgetary analysis, decisions
- Operational management analysis and analysis of operational alternatives
- Project risk management
- Projecting market growth and customer acquisition data
- Quality engineering
- Reducing the risks in strategic business planning
- Sensitivity analysis of projected public benefits of a proposed wireless broadband system -- analysis to be filed with the FCC
- Service quality metrics
- Service uptake forecasting
- Six Sigma
- Strategic analysis
- Tolerance analysis on fiber optic models
- Value various financial options involving securities
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