This document discusses building technically sound simulation models in Crystal Ball. It covers:
- Common applications of simulation modeling and Crystal Ball software.
- The ModelAssist reference tool for simulation best practices.
- Key technical considerations like properly modeling multiplications as sums, distinguishing variability from uncertainty, and accounting for dependencies between variables.
- A checklist of best practices such as engaging decision-makers, keeping models simple, and clearly communicating results.
An extension on hypothesis testing, this lesson introduces the concepts of a correlation and regression as part of measuring statistical relationships.
Slides of the paper http://arxiv.org/abs/1505.04637
source code is available at https://github.com/albahnsen/CostSensitiveClassification/blob/master/costcla/models/cost_tree.py#L15
Abstract:
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes. However, standard classification methods do not take these costs into account, and assume a constant cost of misclassification errors. In previous works, some methods that take into account the financial costs into the training of different algorithms have been proposed, with the example-dependent cost-sensitive decision tree algorithm being the one that gives the highest savings. In this paper we propose a new framework of ensembles of example-dependent cost-sensitive decision-trees. The framework consists in creating different example-dependent cost-sensitive decision trees on random subsamples of the training set, and then combining them using three different combination approaches. Moreover, we propose two new cost-sensitive combination approaches; cost-sensitive weighted voting and cost-sensitive stacking, the latter being based on the cost-sensitive logistic regression method. Finally, using five different databases, from four real-world applications: credit card fraud detection, churn modeling, credit scoring and direct marketing, we evaluate the proposed method against state-of-the-art example-dependent cost-sensitive techniques, namely, cost-proportionate sampling, Bayes minimum risk and cost-sensitive decision trees. The results show that the proposed algorithms have better results for all databases, in the sense of higher savings.
An extension on hypothesis testing, this lesson introduces the concepts of a correlation and regression as part of measuring statistical relationships.
Slides of the paper http://arxiv.org/abs/1505.04637
source code is available at https://github.com/albahnsen/CostSensitiveClassification/blob/master/costcla/models/cost_tree.py#L15
Abstract:
Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples and not only within classes. However, standard classification methods do not take these costs into account, and assume a constant cost of misclassification errors. In previous works, some methods that take into account the financial costs into the training of different algorithms have been proposed, with the example-dependent cost-sensitive decision tree algorithm being the one that gives the highest savings. In this paper we propose a new framework of ensembles of example-dependent cost-sensitive decision-trees. The framework consists in creating different example-dependent cost-sensitive decision trees on random subsamples of the training set, and then combining them using three different combination approaches. Moreover, we propose two new cost-sensitive combination approaches; cost-sensitive weighted voting and cost-sensitive stacking, the latter being based on the cost-sensitive logistic regression method. Finally, using five different databases, from four real-world applications: credit card fraud detection, churn modeling, credit scoring and direct marketing, we evaluate the proposed method against state-of-the-art example-dependent cost-sensitive techniques, namely, cost-proportionate sampling, Bayes minimum risk and cost-sensitive decision trees. The results show that the proposed algorithms have better results for all databases, in the sense of higher savings.
Monte Carlo Simulations (UC Berkeley School of Information; July 11, 2019)Ivan Corneillet
My guest lecture on Monte Carlo simulations [or "how to be approximately right, now vs. precisely wrong, later (or never…)"] for the Managing Cyber Risk course of UC Berkeley School of Information's Cybersecurity Master.
With the current expected credit loss (CECL) model for the Allowance on the horizon, bankers will be asked to create future-looking methodologies that adjust for reasonable and supportable forecasts. Without adequate modeling experience, that can be a challenge for community banks and credit unions.
Watch the full webinar here: http://web.sageworks.com/forward-looking-alll-adjustments/
High level overview of Predictive Analytics techniques - Decision Trees, Regressions, Time Series Forecasting, Exponential Smoothing, etc.
Was put together to train friends and mentees. Based on personal learnings/research and no proprietary info, etc. and no claims on 100% accuracy. Also every institution/organization/team uses it own steps/methodologies, so please use the one relevant for you and this only for training purposes.
Life cycle costing (LCC) analysis helps you compare several investment opportunities based on the costs and revenues each investment generates over several years. You can learn how to perform a simple LCC in the application note "Life cycle costing (LCC): the basics".
Basic LCC is a good method for making informed decisions, but the outcome of such an analysis depends heavily on the quality of the input data and the assumptions you make. Energy prices, maintenance expenses, availability and discount rates are just some of the parameters you need to estimate. But it doesn’t stop there. You also need to able to defend your estimates. After all, each parameter can have a huge impact on your final decision. A critical audience, such as your management or funders, will undoubtedly test the robustness of your decision.
You can strengthen your case by including a sensitivity and risk analysis – in other words, perform a stochastic LCC analysis. It doesn’t necessarily require more or better information than a basic LCC analysis, but it does allow you to deal more effectively with the limited information at your disposal. A sensitivity analysis shows you how robust your decision is: in other words, would your choice between several investment opportunities change if any of the input parameters changed? A risk analysis shows you which risks you could manage to safeguard the profitability of your project.
This application note will teach you the basics of Monte Carlo Simulation, a powerful method that allows you to deal with risks and uncertainty by building and running a stochastic LCC model. Each step in the 5-step procedure is illustrated with a running example, which you can check yourself in MS Excel, using a free software add-in.
Reduction in customer complaints - Mortgage IndustryPranov Mishra
The project aims at analysis of Customer Complaints/Inquiries received by a US based mortgage (loan) servicing company..
The goal of the project is building a predictive model using the identified significant
contributors and coming up with recommendations for changes which will lead to
1. Reducing Re-work
2. Reducing Operational Cost
3. Improve Customer Satisfaction
4. Improve company preparedness to respond to customer.
Three models were built - Logistic Regression, Random Forest and Gradient Boosting. It was seen that the accuracy, auc (Area under the curve), sensitivity and specificity improved drastically as the model complexity increased from simple to complex.
Logistic regression was not generalizing well to a non-linear data. So the model was suffering from both bias and variance. Random Forest is an ensemble technique in itself and helps with reducing variance to a great extent. Gradient Boosting, with its sequential learning ability, helps reduce the bias. The results from both random forest and gradient boosting did not differ by much. This is confirming the bias-variance trade-off concept which states that complex models will do well on non-linear data as the inflexible simple models will have high bias and can have high variance.
Additionally, a lift chart was built which gives a Cumulative lift of 133% in the first four deciles
In Machine Learning in Credit Risk Modeling, we provide an explanation of the main Machine Learning models used in James so that Efficiency does not come at the expense of Explainability.
(Contact Yvan De Munck for more info or to receive other and future updates on the subject @yvandemunck or yvan@james.finance)
Monte Carlo Simulations (UC Berkeley School of Information; July 11, 2019)Ivan Corneillet
My guest lecture on Monte Carlo simulations [or "how to be approximately right, now vs. precisely wrong, later (or never…)"] for the Managing Cyber Risk course of UC Berkeley School of Information's Cybersecurity Master.
With the current expected credit loss (CECL) model for the Allowance on the horizon, bankers will be asked to create future-looking methodologies that adjust for reasonable and supportable forecasts. Without adequate modeling experience, that can be a challenge for community banks and credit unions.
Watch the full webinar here: http://web.sageworks.com/forward-looking-alll-adjustments/
High level overview of Predictive Analytics techniques - Decision Trees, Regressions, Time Series Forecasting, Exponential Smoothing, etc.
Was put together to train friends and mentees. Based on personal learnings/research and no proprietary info, etc. and no claims on 100% accuracy. Also every institution/organization/team uses it own steps/methodologies, so please use the one relevant for you and this only for training purposes.
Life cycle costing (LCC) analysis helps you compare several investment opportunities based on the costs and revenues each investment generates over several years. You can learn how to perform a simple LCC in the application note "Life cycle costing (LCC): the basics".
Basic LCC is a good method for making informed decisions, but the outcome of such an analysis depends heavily on the quality of the input data and the assumptions you make. Energy prices, maintenance expenses, availability and discount rates are just some of the parameters you need to estimate. But it doesn’t stop there. You also need to able to defend your estimates. After all, each parameter can have a huge impact on your final decision. A critical audience, such as your management or funders, will undoubtedly test the robustness of your decision.
You can strengthen your case by including a sensitivity and risk analysis – in other words, perform a stochastic LCC analysis. It doesn’t necessarily require more or better information than a basic LCC analysis, but it does allow you to deal more effectively with the limited information at your disposal. A sensitivity analysis shows you how robust your decision is: in other words, would your choice between several investment opportunities change if any of the input parameters changed? A risk analysis shows you which risks you could manage to safeguard the profitability of your project.
This application note will teach you the basics of Monte Carlo Simulation, a powerful method that allows you to deal with risks and uncertainty by building and running a stochastic LCC model. Each step in the 5-step procedure is illustrated with a running example, which you can check yourself in MS Excel, using a free software add-in.
Reduction in customer complaints - Mortgage IndustryPranov Mishra
The project aims at analysis of Customer Complaints/Inquiries received by a US based mortgage (loan) servicing company..
The goal of the project is building a predictive model using the identified significant
contributors and coming up with recommendations for changes which will lead to
1. Reducing Re-work
2. Reducing Operational Cost
3. Improve Customer Satisfaction
4. Improve company preparedness to respond to customer.
Three models were built - Logistic Regression, Random Forest and Gradient Boosting. It was seen that the accuracy, auc (Area under the curve), sensitivity and specificity improved drastically as the model complexity increased from simple to complex.
Logistic regression was not generalizing well to a non-linear data. So the model was suffering from both bias and variance. Random Forest is an ensemble technique in itself and helps with reducing variance to a great extent. Gradient Boosting, with its sequential learning ability, helps reduce the bias. The results from both random forest and gradient boosting did not differ by much. This is confirming the bias-variance trade-off concept which states that complex models will do well on non-linear data as the inflexible simple models will have high bias and can have high variance.
Additionally, a lift chart was built which gives a Cumulative lift of 133% in the first four deciles
In Machine Learning in Credit Risk Modeling, we provide an explanation of the main Machine Learning models used in James so that Efficiency does not come at the expense of Explainability.
(Contact Yvan De Munck for more info or to receive other and future updates on the subject @yvandemunck or yvan@james.finance)
www.p6academy.com
You can learn what is new in this release by either viewing a User Productivity Kit (UPK) demo or by reading a PDF document. Please note that, at the moment, P6 EPPM and P6 Professional 17 are available only as cloud deployments.
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Discover the Latest Release of Oracle’s Primavera P6 Enterprise Project Portfolio Management
Submitted by our members, all rights copyright Oracle.
ORACLE P6ACADEMY.COM
Shared by our members
Primavera Prime Overview
Harish Bhagavatula
Director, Product Strategy
Primavera Global Business Unit
March, 2016
• 100% Cloud-based product.• Project and Portfolio Management service built on Oracle technology.• Integrated scope, cost and schedule.• Long range capital and resource planning.• Evaluate ideas and proposals that align with business strategic goals.• Tools to perform enterprise risk analysis in the cloud leveraging Monte Carlo simulations.
What is Primavera Prime?
• Prioritizing, planning, managing, and executing projects, programs, and portfolios on a global scale.• Support complex management process that requires the highest levels of performance.• To establish leadership in integrated Scope, Cost, Schedule, Resource and Risk Management.• Design and Process Automation platform.• Integrated data analysis and visualization platform.
ORACLE P6ACADEMY.COM
Shared by our members
Primavera Gateway
16 Release 1 – March 2016
John Pikovskiy
Director
Oracle
Primavera Product Strategy
Primavera Gateway
• Pre-packaged integration connections
for a variety of Primavera internal and
3rd Party applications
• Java application with no dependency
on third party middleware provides
extensible integration solution
• Combine financial management and
asset management information with
project, portfolio and resource
management
• Simple integration framework allows
customers and partners to quickly
develop and adopt Primavera
Gateway for integration
Oracle | P6ACADEMY.COM
Sent to us from members
Primavera Analytics
Rich pre-built business analytics solution for
project centric organizations
Insights into current and historical project
portfolio performance
Analyze schedules, resources, and cost as well as
facilities and real estate information
Uncover trends, track performance, perform root
cause analysis, and forecast costs and cash flow
Drive efficiencies in your project processes by
making better decisions
Leverage the power of business analytics to gain visibility and insight into
Primavera P6 role utilization across all projects down to the daily level
Gain greater understanding into Primavera Unifier with our initial support
for Facilities and Real Estate Management
Expanded support for Primavera Unifier data, including more Business
Process data elements, cost-sheet columns, and cash flow curves
Enhanced user experience and visualizations
ORACLE P6ACADEMY.com
Shared by our members
Oracle Primavera
What’s New in Primavera Unifier 16.1
Ray McEntee - Director, Product Strategy
Krishna Madhuvarsu – Director, Product Strategy
April, 2016
Copyright Oracle
ORACLE | P6ACADEMY.COM
Shared by our members | Copyright Oracle Corp
Discover the Latest Release of Oracle’s
Primavera P6 Enterprise Project
Portfolio Management
Karen Pilla
Director, Product Strategy
Oracle’s Primavera Product Strategy
March 2016
Program Agenda
4
Usability and Adoption
Team Member
Primavera P6 Professional
Industry Highlights
ORACLE | P6ACADEMY.COM
Source: User Submitted
Primavera Unifier provides a best-in-class cloud-based solution for managing capital projects and facilities of any size in every vertical market. Join us for this live webcast with Q&A to learn about enhancements in the 16.1 version, including:
iOS Mobile Application
Unifier Gateway Provider supporting Business Processes
Pushing changes from PM Book Templates
Support for reports created within BI Publisher
Space Manager support within Primavera Analytics
Usability enhancements
Business process enhancementsPrimavera Unifier provides a best-in-class cloud-based solution for managing capital projects and facilities of any size in every vertical market. Join us for this live webcast with Q&A to learn about enhancements in the 16.1 version, including:
iOS Mobile Application
Unifier Gateway Provider supporting Business Processes
Pushing changes from PM Book Templates
Support for reports created within BI Publisher
Space Manager support within Primavera Analytics
Usability enhancements
Business process enhancements
ORACLE | P6ACADEMY.COM
Webcast Slides
• Client Administrative Features Moved to P6 Web
• Job Services Replaced By Scheduled Services
• Methodology Manager Replaced With Project
Templates (Single database for projects and templates)
• MS Project Link Removed
• New Risk Functionality moved from client to P6 Web
• P6 Analytics (Reporting)
• Business Process Management (BPM Workflow)
• Upgrade Information
• Home Window and Progress Reporter Removed
Administering Users, Access and Views in P6 EPPM (Web) Release 8 and laterp6academy
ORACLE | P6ACADEMY.COM
Webcast Slides
Administering Users, Access and Views in P6 EPPM
(Web) Release 8 and later
Mike Wilson
Technical Support Engineer
• New Web Administrative Features Setup
• Application Settings
• Enterprise Data
• Global Scheduled Services
• User Access (including adding new users)
• User Interface Views
• User Sessions
• Dashboards
• Prototype User
Oracle Primavera P6 R8 Release Value Propositionp6academy
ORACLE | P6ACADEMY.COM
Shared by our members
This document provides an overview of features and enhancements included in
Oracle’s Primavera P6 Enterprise Project Portfolio Management Release 8. It is
intended solely to help you assess the business benefits of upgrading to
Primavera P6 Enterprise Project Portfolio Management R8.
Copyright Oracle
Oracle Primavera P6 v7 Release Value Proposition p6academy
ORACLE | P6ACADEMY.COM
Shared by our members
This document provides an overview of features and enhancements included in
Oracle Primavera P6 Enterprise Project Portfolio Management (EPPM) v7. It is
intended solely to help you assess the business benefits of upgrading to P6
EPPM v7 and to plan your I.T. projects.
This document provides an overview of the value proposition that is associated with the new
features and enhancements that are planned for Oracle Primavera P6 v7. This document will
help you assess the business benefits of Oracle Primavera P6 v7 and plan your information
technology investments.
This document describes new or changed functionality only. Existing functionality from prior
releases is not described.
Our goal is to ensure that you leverage technologyto its fullest to increase the efficiency and
effectiveness of your operations. Please note that the final release may not have every feature
that is discussed in this document, and a specific feature may become a part of a different
application or have a product name that is different from those cited in this document.
This preface discusses:
ORACLE | P6ACADEMY.COM
Shared by our members
This Release Content Document (RCD) describes product features that are planned for
release 8 of Oracle Primavera P6 Enterprise Project Portfolio Management. This
document describes new or changed functionality only. Existing functionality from prior
releases is not described. This document is intended solely to help you assess the new
or changed capabilities and business benefits of release 8
Release 8 is the next major release of the Oracle Primavera P6 solution. This release
delivers significant advances in functionality and will help companies deliver more
projects on schedule and within scope, while reducing the overall cost of projects,
project management processes, and systems.
Oracle Support Accreditation – Level 1 Study Guidep6academy
ORACLE | P6ACADEMY.COM
Shared from our members
A word from the program team
Thank you for deciding to include Oracle Support Accreditation as part of
your learning experience.
The content in this accreditation is fast-paced and targeted to experienced
users actively using My Oracle Support core functions on a regular basis.
Make sure the content and level of information is right for your current
level of experience. If any topic is new to you, take time to study it in more
detail before continuing.
Accreditation is self-paced. You can begin your accreditation at any time
Oracle Primavera Support Accreditation Study Guidep6academy
ORACLE | P6ACADEMY.COM
Shared by our members
Support Accreditation for Oracle Customers and Partners
Use your Study Guide along with the learning content to prepare for your exam.
– The content in this accreditation is fast-paced and targeted to experienced users actively
using My Oracle Support core functions on a regular basis (including logging service requests).
– We recommend you preview the series modules and study guide before you begin this
accreditation.
– This study guide provides links and information to help you get the most from your learning
experience, so please refer to it throughout your accreditation.
– Best Practice: Use the Comment/Sticky Note feature to add comments and questions to your
study guide for follow-up. Right-click anywhere on a page or use the Add Sticky Note icon on
the toolbar to create a note.
– Make sure the content and level of information is right for your current level of experience. If
any topic is new to you, take time to study it in more detail before continuing.
– Make the program work for you by pausing or replaying any video, looking up actions in My
Oracle Support, or asking questions in Community at any time. This is your accreditation
experience, and we want you to enjoy it.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
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Skye Residences | Extended Stay Residences Near Toronto Airportmarketingjdass
Experience unparalleled EXTENDED STAY and comfort at Skye Residences located just minutes from Toronto Airport. Discover sophisticated accommodations tailored for discerning travelers.
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Premium MEAN Stack Development Solutions for Modern BusinessesSynapseIndia
Stay ahead of the curve with our premium MEAN Stack Development Solutions. Our expert developers utilize MongoDB, Express.js, AngularJS, and Node.js to create modern and responsive web applications. Trust us for cutting-edge solutions that drive your business growth and success.
Know more: https://www.synapseindia.com/technology/mean-stack-development-company.html
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
Buy Verified PayPal Account
Looking to buy verified PayPal accounts? Discover 7 expert tips for safely purchasing a verified PayPal account in 2024. Ensure security and reliability for your transactions.
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USA WEB MARKET is the Best Verified PayPal, Payoneer, Cash App, Skrill, Neteller, Stripe Account and SEO, SMM Service provider.100%Satisfection granted.100% replacement Granted.
Improving profitability for small businessBen Wann
In this comprehensive presentation, we will explore strategies and practical tips for enhancing profitability in small businesses. Tailored to meet the unique challenges faced by small enterprises, this session covers various aspects that directly impact the bottom line. Attendees will learn how to optimize operational efficiency, manage expenses, and increase revenue through innovative marketing and customer engagement techniques.
Attending a job Interview for B1 and B2 Englsih learnersErika906060
It is a sample of an interview for a business english class for pre-intermediate and intermediate english students with emphasis on the speking ability.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
➢ SUPER JUNIOR-L.S.S. THE SHOW : Th3ee Guys in HO CHI MINH
➢FreenBecky 1st Fan Meeting in Vietnam
➢CHILDREN ART EXHIBITION 2024: BEYOND BARRIERS
➢ WOW K-Music Festival 2023
➢ Winner [CROSS] Tour in HCM
➢ Super Show 9 in HCM with Super Junior
➢ HCMC - Gyeongsangbuk-do Culture and Tourism Festival
➢ Korean Vietnam Partnership - Fair with LG
➢ Korean President visits Samsung Electronics R&D Center
➢ Vietnam Food Expo with Lotte Wellfood
"𝐄𝐯𝐞𝐫𝐲 𝐞𝐯𝐞𝐧𝐭 𝐢𝐬 𝐚 𝐬𝐭𝐨𝐫𝐲, 𝐚 𝐬𝐩𝐞𝐜𝐢𝐚𝐥 𝐣𝐨𝐮𝐫𝐧𝐞𝐲. 𝐖𝐞 𝐚𝐥𝐰𝐚𝐲𝐬 𝐛𝐞𝐥𝐢𝐞𝐯𝐞 𝐭𝐡𝐚𝐭 𝐬𝐡𝐨𝐫𝐭𝐥𝐲 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐛𝐞 𝐚 𝐩𝐚𝐫𝐭 𝐨𝐟 𝐨𝐮𝐫 𝐬𝐭𝐨𝐫𝐢𝐞𝐬."
15. 2. Be certain to model uncertainties
The difference is subtle, but they can greatly impact a model
Variability: heterogeneity (H) among individuals, or randomness (R) (due to
chance, or random samples)
A function of the system being modeled. Can’t be reduced.
• Distribution of household income (H)
• Number of daily coffee breaks (H)
• Catastrophic events (R)
• Quality control sampling (R)
Uncertainty: lack of knowledge about the value of a parameter (e.g.
imperfect data).
A function of the analyst . Thus, can be reduced with more data
• Probability of loan defaults
• Post-launch sales
• Poverty rates in a country
N(m,s)
N( , )
24. We went through a list of technical issues and
potential mistakes to keep an eye on.
Now is a good time to go over a checklist of
procedures (rather than techniques) to keep in
mind before, during and after your model is
developed.
26. Summary
• Background – simulation modeling and Crystal Ball
are used everywhere
• ModelAssist – free modeling reference tool, so use it!
http://www.epixanalytics.com/ModelAssist.html
• Technical considerations for sound models
• Multiplications for sums – don’t do it!
• Uncertainty vs. variability – be sure to distinguish
them
• Dependencies/correlations – don’t ignore them
• A handy checklist to keep in mind