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IBF CERTIFICATION – THE GOLD STANDARD IBF certification is an internationally recognized accreditation that is the hallmark of forecasting and S&OP excellence. It ensures those with forecasting and planning responsibilities have leading practical knowledge that adds value to their organizations. Employers know that professionals holding an IBF certificate have the required skills to perform specific job functions to the highest standard. Certification and training also encourages progression and innovation in the field - IBF accredited forecasters and demand planners are more likely to foster change, encourage collaboration and consensus, build critical relationships, master Big Data, utilize predictive analytics, and improve company performance 3 LEVELS OF CERTIFICATION 1. Certified Professional Forecaster (CPF) 2. Advanced Certified Professional Forecaster (ACPF) 3. Certified Professional Forecaster – Candidate (CPF-C) WHO SHOULD ATTEND IBF training is developed specifically for CEO’s, Department/Functional Heads, Directors, Managers, Leaders, Planners, and Analysts at all levels. Target functions include: CORPORATE TRAINING DELIVERY MODELS – Choose Your Pathway To Certification STANDARD MODEL Full on-site training at location of choice, with the option of completing IBF’s certification exams (2 to 6 days with optional IBF exams) BLENDED DELIVERY MODEL This is a practical and convenient mix of on-site and LIVE online training that concludes with IBF’s certification exams (13 weeks) DISTANCE LEARNING MODEL (online only) Live remote learning, delivering the same level of insight as our on-site sessions. Ideal for those who cannot attend the New York location (13 weeks ) E-LEARNING MODEL (online only) A convenient way for companies to train employees and prepare for IBF exams. Delivered online, your staff can learn anywhere. The series contains 12 modules complete with exercises, case-studies, knowledge checks, and support. Ashland Chemical Bayer Biomet Bombardier Boston Scientific Briggs & Stratton Cadbury Caterpillar Coleman Coty Cummins Del Monte Foods Dupont GAP Genentech GlaxoSmithKline Goodyear Heineken Heinz Hillshire Brands Hospira Jarden Consumer Johnson & Johnson Kellogg’s Mars Mattel McCormick Merck Micron Molson Motorola/Google McNeil Pharmaceutical Nestle/Gerber Nike Pfizer/Wyeth Philip Morris/ Altria Rolls Royce SABIC San Miguel Foods Sanford Brands Sartomer Saudi Aramco SC Johnson Social Security Administration Trek Bikes USAA Vietnam Breweries Whirlpool CLIENTS (Partial List): (partial list) • Allocation Planning • Brand & Product Management • Collaborative Planning, Forecasting, & Replenishment (CPFR) • Customer Service • Data Science • Demand Management • Distribution • Economic Analysis • Finance • Information Technology/ ERP • Integrated Business Planning (IBP) • Inventory Management • Logistics & Transportation • Marketing • Master Scheduling • Master Data • Materials Management • Merchandise Planning • New Business/ Product Development • New Product Forecasting & Planning • Operations • Predictive Analytics/ Big Data • Procurement/ Buying/ Purchasing • Product Life-Cycle Planning • Production • Retail Collaboration • Sales • Sales & Operations Planning (S&OP) • Sourcing • Statistical Modeling • Strategic Planning • Supply Chain Management • Trade Promotions Planning • Warehousing Institute of Business Forecasting & Planning PHONE +1.516.504.7576 | EMAIL: [email protected] | WEB: www.ibf.org ON-SITE DEMAND PLANNING, FORECASTING & S&OP CORPORATE TRAINING The training was very thorough and introduced valuable forecasting concepts. It also stimulated discussion on our business process relating to forecasting” C. Eland, Demand Management SC JOHNSON More than the enjoyment, I learned so much from the real-life examples and exercises. The training leader was extremely accommodating of questions” Elizabeth Tambongco, Business Planning Manager, THE PUREFOODS–HORMEL CO WHAT COMPANIES ARE SAYING ABOUT IBF TRAINING: ON-DEMAND LEARNING OPTIONS CUSTOM TAILORED UPON REQUEST ASSESSMENTS & ADVISORY UNLOCK THE POWER OF YOUR ERP BENCHMARKS & BEST PRACTICES AVAILABLE GLOBALLY CERTIFICATION PREPARATION

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IBF CERTIFICATION – THE GOLD STANDARD

IBF certifi cation is an internationally recognized accreditation that is the hallmark of forecasting and S&OP excellence. It ensures those with forecasting and planning responsibilities have leading practical knowledge that adds value to their organizations. Employers know that professionals holding an IBF certifi cate have the required skills to perform specifi c job functions to the highest standard. Certifi cation and training also encourages progression and innovation in the fi eld - IBF accredited forecasters and demand planners are more likely to foster change, encourage collaboration and consensus, build critical relationships, master Big Data, utilize predictive analytics, and improve company performance

3 LEVELS OF CERTIFICATION1. Certifi ed Professional Forecaster (CPF)2. Advanced Certifi ed Professional Forecaster (ACPF)3. Certifi ed Professional Forecaster –

Candidate (CPF-C)

WHO SHOULD ATTEND

IBF training is developed specifi cally for CEO’s, Department/Functional Heads, Directors, Managers, Leaders, Planners, and Analysts at all levels. Target functions include:

Institute of BusinessForecasting & PlanningPHONE +1.516.504.7576 | EMAIL: [email protected] | WEB: www.ibf.org

ADVANTAGES OF IBF TRAINING

Forecasting is becoming increasingly diffi cult due to outsourcing, globalization, growth of new products, shorter product life-cycles, and more. Big Data is disrupting the industry in unprecedented ways, and this is arguably the greatest challenge – and opportunity - facing businesses today. Leveraging this opportunity is a key way businesses can gain competitive advantage, and it is up to our forecasting & planning professionals to use it to optimize supply chain effi ciency, reduce inventory and decrease operational waste – not to mention driving strategy. Make no mistake, better S&OP and forecasting underpins all efforts to defend, and take, market share. Join IBF to establish and maintain your company’s edge - with the right tools, knowledge and best practices, your organization can exploit the latest innovations in forecasting and S&OP, placing it one step ahead of the competition.

ADVANTAGES:

• BENCHMARKS & BEST PRACTICES: Gain access to valuable benchmarking research, as well as best practices that successful companies are using to win in today’s marketplace. Identify the gaps in staff skills, processes, technology, analytics, data, and correct them through hands-on learning

• UNLOCK THE POWER OF YOUR ERP/DEMAND PLANNING SYSTEM: Learn to leverage the power of your ERP for improved demand planning & forecasting. Most companies only utilize a small percentage of their system’s capabilities. Let us teach you the methods.

• VALUABLE BONUS MATERIALS: Case studies, exercises, data-sets, templates, and complete presentation slides.

• TIME AND LOCATION FLEXIBILITY: IBF training is global as it can be held at any location in the world at any time with adequate notice.

• CERTIFICATION PREPARATION: IBF’s training program prepares participants for the IBF’s Certifi ed Professional Forecaster (CPF) and Advanced Certifi ed Professional Forecaster (ACPF) exams. You have the option to combine the training with IBF’s certifi cation exams.

• INTERACTIVE: IBF’s training is layered with group activities, hands-on exercises in MS Excel, and strongly encourages discussion and debate among participants. Geared towards professionals of all levels, you won’t hear theory, just proven knowledge that works.

• DEMAND PLANNING & FORECASTING AUDIT OPTION: Let the experts at IBF review your processes, data and people as compared to Best Practices and quickly identify the opportunities you’re missing.

• CUSTOMIZATION & CONSULTATION OPTION: Our experts can customize the training material to include your data and specifi c challenges. We will guide you through the change management process, and help support any senior executive engagement. Contact us to learn more!

ABOUT IBF – THE GLOBAL LEADER IN FORECASTING & S&OP

The Institute of Business Forecasting & Planning – IBF is a membership organization recognized worldwide as the premier full-service provider of demand planning, forecasting, analytics, S&OP/ IBP education, benchmarking research, training, certifi cation, eLearning, world-class conferences, and advisory services. For over 30 years, the IBF has been helping businesses improve their forecasting and planning performance to enhance growth, optimize supply chains, and improve their bottom line. No other organization on the globe has as much depth in its educational content for Demand Planning, Forecasting, Predictive Analytics, and S&OP.

CORPORATE TRAINING DELIVERY MODELS – Choose Your Pathway To Certifi cation

STANDARD MODELFull on-site training at location of choice, with the option of completing IBF’s certifi cation exams (2 to 6 days with optional IBF exams)

BLENDED DELIVERY MODELThis is a practical and convenient mix of on-site and LIVE online training that concludes with IBF’s certifi cation exams (13 weeks)

DISTANCE LEARNING MODEL (online only)Live remote learning, delivering the same level of insight as our on-site sessions. Ideal for those who cannot attend the New York location (13 weeks )

E-LEARNING MODEL (online only)A convenient way for companies to train employees and prepare for IBF exams. Delivered online, your staff can learn anywhere. The series contains 12 modules complete with exercises, case-studies, knowledge checks, and support.

Ashland ChemicalBayerBiometBombardierBoston Scientifi cBriggs & StrattonCadburyCaterpillarColemanCotyCumminsDel Monte FoodsDupontGAPGenentechGlaxoSmithKlineGoodyearHeinekenHeinzHillshire BrandsHospiraJarden ConsumerJohnson & JohnsonKellogg’sMarsMattelMcCormickMerckMicronMolsonMotorola/GoogleMcNeil PharmaceuticalNestle/GerberNikePfi zer/WyethPhilip Morris/ AltriaRolls RoyceSABICSan Miguel FoodsSanford BrandsSartomerSaudi AramcoSC JohnsonSocial Security AdministrationTrek BikesUSAAVietnam BreweriesWhirlpool

CLIENTS (Partial List):

(partial list)

• Allocation Planning• Brand & Product

Management• Collaborative Planning,

Forecasting, & Replenishment (CPFR)

• Customer Service• Data Science• Demand Management• Distribution• Economic Analysis• Finance• Information Technology/

ERP• Integrated Business

Planning (IBP)• Inventory Management• Logistics & Transportation• Marketing• Master Scheduling• Master Data• Materials Management

• Merchandise Planning• New Business/ Product

Development• New Product Forecasting &

Planning• Operations• Predictive Analytics/ Big

Data• Procurement/ Buying/

Purchasing• Product Life-Cycle Planning• Production• Retail Collaboration• Sales• Sales & Operations Planning

(S&OP)• Sourcing• Statistical Modeling• Strategic Planning• Supply Chain Management• Trade Promotions Planning• Warehousing

4-17

ON-SITEDEMAND PLANNING, FORECASTING & S&OP CORPORATE TRAINING

“ The training was very thorough and introduced valuable forecasting concepts. It also stimulated discussion on our business process relating to forecasting”

— C. Eland, Demand Management SC JOHNSON

“ More than the enjoyment, I learned so much from the real-life examples and exercises. The training leader was extremely accommodating of questions”

— Elizabeth Tambongco, Business Planning Manager,THE PUREFOODS –HORMEL CO

WHAT COMPANIES ARE SAYING ABOUT IBF TRAINING:

※ ON-DEMAND LEARNING OPTIONS

※ CUSTOM TAILORED UPON REQUEST

※ ASSESSMENTS & ADVISORY

※ UNLOCK THE POWER OF YOUR ERP

※ BENCHMARKS & BEST PRACTICES

※ AVAILABLE GLOBALLY

※ CERTIFICATION PREPARATION

IBF CERTIFICATION – THE GOLD STANDARD

IBF certifi cation is an internationally recognized accreditation that is the hallmark of forecasting and S&OP excellence. It ensures those with forecasting and planning responsibilities have leading practical knowledge that adds value to their organizations. Employers know that professionals holding an IBF certifi cate have the required skills to perform specifi c job functions to the highest standard. Certifi cation and training also encourages progression and innovation in the fi eld - IBF accredited forecasters and demand planners are more likely to foster change, encourage collaboration and consensus, build critical relationships, master Big Data, utilize predictive analytics, and improve company performance

3 LEVELS OF CERTIFICATION1. Certifi ed Professional Forecaster (CPF)2. Advanced Certifi ed Professional Forecaster (ACPF)3. Certifi ed Professional Forecaster –

Candidate (CPF-C)

WHO SHOULD ATTEND

IBF training is developed specifi cally for CEO’s, Department/Functional Heads, Directors, Managers, Leaders, Planners, and Analysts at all levels. Target functions include:

Institute of BusinessForecasting & PlanningPHONE +1.516.504.7576 | EMAIL: [email protected] | WEB: www.ibf.org

ADVANTAGES OF IBF TRAINING

Forecasting is becoming increasingly diffi cult due to outsourcing, globalization, growth of new products, shorter product life-cycles, and more. Big Data is disrupting the industry in unprecedented ways, and this is arguably the greatest challenge – and opportunity - facing businesses today. Leveraging this opportunity is a key way businesses can gain competitive advantage, and it is up to our forecasting & planning professionals to use it to optimize supply chain effi ciency, reduce inventory and decrease operational waste – not to mention driving strategy. Make no mistake, better S&OP and forecasting underpins all efforts to defend, and take, market share. Join IBF to establish and maintain your company’s edge - with the right tools, knowledge and best practices, your organization can exploit the latest innovations in forecasting and S&OP, placing it one step ahead of the competition.

ADVANTAGES:

• BENCHMARKS & BEST PRACTICES: Gain access to valuable benchmarking research, as well as best practices that successful companies are using to win in today’s marketplace. Identify the gaps in staff skills, processes, technology, analytics, data, and correct them through hands-on learning

• UNLOCK THE POWER OF YOUR ERP/DEMAND PLANNING SYSTEM: Learn to leverage the power of your ERP for improved demand planning & forecasting. Most companies only utilize a small percentage of their system’s capabilities. Let us teach you the methods.

• VALUABLE BONUS MATERIALS: Case studies, exercises, data-sets, templates, and complete presentation slides.

• TIME AND LOCATION FLEXIBILITY: IBF training is global as it can be held at any location in the world at any time with adequate notice.

• CERTIFICATION PREPARATION: IBF’s training program prepares participants for the IBF’s Certifi ed Professional Forecaster (CPF) and Advanced Certifi ed Professional Forecaster (ACPF) exams. You have the option to combine the training with IBF’s certifi cation exams.

• INTERACTIVE: IBF’s training is layered with group activities, hands-on exercises in MS Excel, and strongly encourages discussion and debate among participants. Geared towards professionals of all levels, you won’t hear theory, just proven knowledge that works.

• DEMAND PLANNING & FORECASTING AUDIT OPTION: Let the experts at IBF review your processes, data and people as compared to Best Practices and quickly identify the opportunities you’re missing.

• CUSTOMIZATION & CONSULTATION OPTION: Our experts can customize the training material to include your data and specifi c challenges. We will guide you through the change management process, and help support any senior executive engagement. Contact us to learn more!

ABOUT IBF – THE GLOBAL LEADER IN FORECASTING & S&OP

The Institute of Business Forecasting & Planning – IBF is a membership organization recognized worldwide as the premier full-service provider of demand planning, forecasting, analytics, S&OP/ IBP education, benchmarking research, training, certifi cation, eLearning, world-class conferences, and advisory services. For over 30 years, the IBF has been helping businesses improve their forecasting and planning performance to enhance growth, optimize supply chains, and improve their bottom line. No other organization on the globe has as much depth in its educational content for Demand Planning, Forecasting, Predictive Analytics, and S&OP.

CORPORATE TRAINING DELIVERY MODELS – Choose Your Pathway To Certifi cation

STANDARD MODELFull on-site training at location of choice, with the option of completing IBF’s certifi cation exams (2 to 6 days with optional IBF exams)

BLENDED DELIVERY MODELThis is a practical and convenient mix of on-site and LIVE online training that concludes with IBF’s certifi cation exams (13 weeks)

DISTANCE LEARNING MODEL (online only)Live remote learning, delivering the same level of insight as our on-site sessions. Ideal for those who cannot attend the New York location (13 weeks )

E-LEARNING MODEL (online only)A convenient way for companies to train employees and prepare for IBF exams. Delivered online, your staff can learn anywhere. The series contains 12 modules complete with exercises, case-studies, knowledge checks, and support.

Ashland ChemicalBayerBiometBombardierBoston Scientifi cBriggs & StrattonCadburyCaterpillarColemanCotyCumminsDel Monte FoodsDupontGAPGenentechGlaxoSmithKlineGoodyearHeinekenHeinzHillshire BrandsHospiraJarden ConsumerJohnson & JohnsonKellogg’sMarsMattelMcCormickMerckMicronMolsonMotorola/GoogleMcNeil PharmaceuticalNestle/GerberNikePfi zer/WyethPhilip Morris/ AltriaRolls RoyceSABICSan Miguel FoodsSanford BrandsSartomerSaudi AramcoSC JohnsonSocial Security AdministrationTrek BikesUSAAVietnam BreweriesWhirlpool

CLIENTS (Partial List):

(partial list)

• Allocation Planning• Brand & Product

Management• Collaborative Planning,

Forecasting, & Replenishment (CPFR)

• Customer Service• Data Science• Demand Management• Distribution• Economic Analysis• Finance• Information Technology/

ERP• Integrated Business

Planning (IBP)• Inventory Management• Logistics & Transportation• Marketing• Master Scheduling• Master Data• Materials Management

• Merchandise Planning• New Business/ Product

Development• New Product Forecasting &

Planning• Operations• Predictive Analytics/ Big

Data• Procurement/ Buying/

Purchasing• Product Life-Cycle Planning• Production• Retail Collaboration• Sales• Sales & Operations Planning

(S&OP)• Sourcing• Statistical Modeling• Strategic Planning• Supply Chain Management• Trade Promotions Planning• Warehousing

4-17

ON-SITEDEMAND PLANNING, FORECASTING & S&OP CORPORATE TRAINING

“ The training was very thorough and introduced valuable forecasting concepts. It also stimulated discussion on our business process relating to forecasting”

— C. Eland, Demand Management SC JOHNSON

“ More than the enjoyment, I learned so much from the real-life examples and exercises. The training leader was extremely accommodating of questions”

— Elizabeth Tambongco, Business Planning Manager,THE PUREFOODS –HORMEL CO

WHAT COMPANIES ARE SAYING ABOUT IBF TRAINING:

※ ON-DEMAND LEARNING OPTIONS

※ CUSTOM TAILORED UPON REQUEST

※ ASSESSMENTS & ADVISORY

※ UNLOCK THE POWER OF YOUR ERP

※ BENCHMARKS & BEST PRACTICES

※ AVAILABLE GLOBALLY

※ CERTIFICATION PREPARATION

I. Fundamentals of Demand Planning & Forecasting

Demand Planning & Forecasting is a unique combination of art and science, where two very different approaches seek to create a picture of the future. This module covers basic forecasting and planning concepts to effectively combine the quantitative and qualitative elements, and will reveal how the outcomes add value to business planning. Key terminology and concepts are included in this module, as well as insight into the wider role of forecasting and demand planning within an organization.

KEY LEARNING’S:• How to structure a demand planning

process • How effective processes contribute to

forecasting accuracy • Soft skills to “sell” the forecast and gain

buy-in within the organization • Coordinating different roles to work

towards a common goal• The needs, goals and perspectives

of different stakeholders within the forecasting process

• How to manage bias and politics in forecasting & planning

• The benefits of consumption based/ POS forecasting

II. Basics of Demand Forecasting and The Drivers For Operations/ Supply Chain Planning

Forecasting and planning has the power to cut costs in supply chain and free capital for other initiatives. This module builds on the basics to reveal the practical processes used in leading organizations to drive efficiency, including the Consensus Meeting and the Single Number Forecast. Learn how to compute safety stocks with demand forecasts to ensure the correct margin of error and manage inventory with the lowest costs possible. You will also learn best practices and processes that you can implement in your own organizations.

KEY LEARNING’S:• How to design a goal driven demand

planning & forecasting process • How to integrate management, user

needs, and marketing intelligence into one process

• How to establish priorities for forecasting & planning

• Key considerations and drivers such as the Bullwhip effect and customer fulfilment issues

• How to achieve a consensus forecast with a single number

III. Internal & External Collaboration: S&OP and CPFR

The demand plan is ultimately designed to be incorporated into the S&OP process for better decision making. This integration allows businesses to meet demand with supply and take the necessary steps to achieve financial goals. Collaborative Planning, Forecasting & Replenishment (CPFR) is an external collaborative approach that is uniquely effective in meeting these goals, harnessing POS/Syndicated data for consumer centric forecasting. This module reveals the steps to achieving collaboration and establishing an effective S&OP process.

KEY LEARNING’S:• How to design and implement an

effective S&OP process • How to structure and manage the

monthly S&OP cycle • How to organize and manage S&OP

meetings and ensure top management support

• Demand Sensing & Shaping, balancing supply with demand to achieve financial goals

• CPFR basics, success factors and challenges

• Sources of syndicated data such as AC Nielsen and Symphony IRI

• How to pilot and launch CPFR with key accounts/customers

IV. Data Management, Forecasting & Planning Error, and Measurement Metrics

In this module you will learn how to measure performance, and learn what contributes to error in your forecasts and plans. See how to determine cost of error to your business and truly show upper management what it means to the bottom line for each percentage error of improvement. Also, demand planning & forecasting efforts are based upon the availability of reliable, relevant, standardized, and usable data. This module will also discuss processes for cleaning “dirty data” and preparing it for demand forecast use.

KEY LEARNING’S:• How to define and locate data required

for forecasting• How to analyse data including

recognizing useful patterns• How to cleanse “dirty data” and

manage missing data, promotional effects and seasonality

• How to interpret trend and seasonality changes to develop more accurate forecasts

• How to tailor Key Performance Indicators (KPI’s) to your unique organization

• The cost of error to your business, how to calculate it and reduce it

• What Big Data is and how to build a Demand Signal Repository

V. Analytics / Forecasting Models: Time Series Methods & How to Select Which One to Use

Each forecasting model is context dependent, meaning you must identify the required model for the data you are analysing. In this module, you will learn how to develop your own models to respond to the nuances of specific datasets and thus create highly robust forecasts. This module covers the essential principles of model evaluation, selection and development, including the best time series models available, and how to measure their performance. This session includes a hands-on exploration using MS-Excel of common statistical forecasting methods and models found in most popular planning & forecasting systems.

KEY LEARNING’S:• How to evaluate and match data

patterns with forecast models • The fundamental differences between

time series forecasting and cause and effect/ regression models

• How to evaluate accuracy in selecting your model, the expected accuracy and range of forecasts

• Key concepts and terminology of time series forecasting models and methods

• How to disaggregate category level forecasts into SKU forecasts by location or distribution center

• How to prepare a baseline statistical forecast

• Model diagnostics and how to improve the quality of your forecasts

VI. Corporate Benchmarks, Best Practices and Improving Communication in Demand Planning & Forecasting

Successful forecasters always follow developments in the field and seek to learn from industry leaders. IBF facili-tates this by gathering key information and developments from companies on the cutting edge of innovation. We present benchmarks and best prac-tices, and key insights into improving the S&OP process. Plus, this module also includes best practices on how to effectively communicate forecasts & plans to management.

KEY LEARNING’S:• How to resolve conflict and manage

personalities from a range of cultures with varying needs and priorities

• Running an effective review meeting, and how to structure an agenda

• How to gain influence and communicate findings through effective presentation materials

• How to effectively communicate with different levels of management across all functional areas

• How experienced forecasters and demand planners use soft skills in best in class organizations

• How to incorporate benchmarking as a key component of all forecasting and planning processes

VII. New Product Forecasting & Planning: Making Decisions when Little or No data is Available

One of the most challenging parts of forecasting is gauging demand for new products due to lack of historical data and increased uncertainty. This module highlights how judgement, combined with analytical methods can improve the chances of successfully launching new products. Key themes of this module include the optimal qualitative and quantitative models, with insight into characteristics, benefits, and risks. You will learn how to incorporate these models into the wider S&OP process.

KEY LEARNING’S:• How to combine cause and effect

models and diffusion models to maximize forecast accuracy

• How to use both quantitative and qualitative methods in the absence of statistical data

• How to include forecasting throughout your new product development process

• The stakeholders to collaborate with to gain the necessary qualitative insight

• How to modulate your forecasts and forecast methods as new products approach launch date

• The role of judgment and collaboration in new product launches

• Overview on EOL (End-Of-Life) planning/ product phase-outs

VIII. Promotional/ Event driven Forecasting: Quantifying Relationships and Scenario Planning with Regression

For what-if scenarios, regression forecasting models (cause and effect models) are a powerful tool because they allow you to quantify and determine the impact of marketing promotions and price changes on sales, and much more. It affords forecasters the ability to present to management the effects of specific activities to enable better decision making – helping to place forecasting at the heart of company strategy. This interactive module uses datasets, templates, and exercises to illustrate key concepts and to provide practical takeaways for your own organization.

KEY LEARNING’S:• The benefits of cause and effect models • The best scenarios to use regression

models• How to build a cause and effect model

and prepare forecasts • The necessary data requirements for

regression models • How to validate cause and effect

forecasts by putting the model through a diagnostic such as ex-post forecasting

• How to make existing cause and effect models more effective

IX. Demand Planning & Forecasting Software Systems: How to Select and Audit

A forecasting team is only as strong as the software it uses, and choosing the right software for your company and products is not as easy as it seems. Your software serves to take your processes and automate them – this means that as your data and products increase in volume, your software must keep pace. This requires planning and investment. In this module, we will discuss the pitfalls in software selection and what to look for to ensure you find an application that is right for your team’s approach, products and company type. IBF doesn’t support one software vendor over another, meaning you will receive unbiased expert advice on meeting your technology needs in S&OP.

KEY LEARNING’S:• How to establish your team’s software

requirements• Different software types and attributes• The importance of defining your

processes before choosing software to automate them

• The key stakeholders to decide on software requirements and to validate processes prior to software application roll-out

• How to establish a training program before new software is rolled out

• How best in class companies use software to support their forecasting models and data needs

X. Worst Practices in Forecasting & Demand Planning and How to Avoid Them

Implementing best practices is redun-dant unless worst practices are identified and remedied. There are many common mistakes that restrict forecasting and de-mand planning teams’ performance. IBF continually researches worst practices encountered at a variety of organization of all sizes and industries. Common mis-takes damage collaboration, customer service, successful inventory manage-ment, and of course, forecasting perfor-mance. This module explores the dan-gers and pitfalls, and presents lessons learned from commonly made mistakes.

KEY LEARNING’S:• Worst practices in design and

implementation of forecasting processes • Worst practices in structuring and

application of forecasts in decision making

• Worst practices in managing, cleaning, and updating data in preparing forecasts

• Worst practices in selection and specification of a model appropriate to the business decision

• Worst practices in use of metrics for monitoring and evaluating forecast performance

• Worst practices in selection and implementation of forecasting packages and systems

XI. Auto-Regressive Integrated Moving Average (ARIMA) - Box-Jenkins Modelling

A crucial alternative when standard forecasting models do not provide the accuracy you need, the ARIMA (or Box-Jenkins) Models are based on a single time series, but have regression modelling methodology imbedded within them, using regression to calculate current values on historical values. The value of ARIMA models is that they can incorporate cause and effect variables for longer-term forecasting, combining qualitative and quantitative elements to paint a picture of influencing factors and their subsequent outcomes. The flexibility of this powerful approach means it can also be used for short-term forecasts such as daily, weekly or monthly forecasts. ARIMA Models are a tool every forecaster should have in their arsenal, and this module reveals the key concepts and steps for practical application in your own company.

KEY LEARNING’S:• Core concepts and assumptions

underlying ARIMA modelling • What types of data work best for these

models • ARIMA Models vs. Regression Models

and when to use each • How to define Differencing • Types of ARIMA Models to identify the

appropriate model for your products • Real-life case studies from best in

class companies with practical tips and takeaways

ADVANCED MODULES (FOR ACPF PREPARATION)

FOR FURTHER INFORMATION, PLEASE CONTACT US AT: EMAIL: [email protected] | PHONE: +1.516.504.7576 (NEW YORK) | WEB: www.ibf.org

SAVE

BY REQUESTING

TRAINING PROPOSAL THAT PACKAGES IBF

CONFERENCES, MEMBERSHIP, CERTIFICATION,

& MORE

F U N DA M E N TA L M O D U L E S ( F O R C P F P R E PA R AT I O N )

I. Fundamentals of Demand Planning & Forecasting

Demand Planning & Forecasting is a unique combination of art and science, where two very different approaches seek to create a picture of the future. This module covers basic forecasting and planning concepts to effectively combine the quantitative and qualitative elements, and will reveal how the outcomes add value to business planning. Key terminology and concepts are included in this module, as well as insight into the wider role of forecasting and demand planning within an organization.

KEY LEARNING’S:• How to structure a demand planning

process • How effective processes contribute to

forecasting accuracy • Soft skills to “sell” the forecast and gain

buy-in within the organization • Coordinating different roles to work

towards a common goal• The needs, goals and perspectives

of different stakeholders within the forecasting process

• How to manage bias and politics in forecasting & planning

• The benefits of consumption based/ POS forecasting

II. Basics of Demand Forecasting and The Drivers For Operations/ Supply Chain Planning

Forecasting and planning has the power to cut costs in supply chain and free capital for other initiatives. This module builds on the basics to reveal the practical processes used in leading organizations to drive efficiency, including the Consensus Meeting and the Single Number Forecast. Learn how to compute safety stocks with demand forecasts to ensure the correct margin of error and manage inventory with the lowest costs possible. You will also learn best practices and processes that you can implement in your own organizations.

KEY LEARNING’S:• How to design a goal driven demand

planning & forecasting process • How to integrate management, user

needs, and marketing intelligence into one process

• How to establish priorities for forecasting & planning

• Key considerations and drivers such as the Bullwhip effect and customer fulfilment issues

• How to achieve a consensus forecast with a single number

III. Internal & External Collaboration: S&OP and CPFR

The demand plan is ultimately designed to be incorporated into the S&OP process for better decision making. This integration allows businesses to meet demand with supply and take the necessary steps to achieve financial goals. Collaborative Planning, Forecasting & Replenishment (CPFR) is an external collaborative approach that is uniquely effective in meeting these goals, harnessing POS/Syndicated data for consumer centric forecasting. This module reveals the steps to achieving collaboration and establishing an effective S&OP process.

KEY LEARNING’S:• How to design and implement an

effective S&OP process • How to structure and manage the

monthly S&OP cycle • How to organize and manage S&OP

meetings and ensure top management support

• Demand Sensing & Shaping, balancing supply with demand to achieve financial goals

• CPFR basics, success factors and challenges

• Sources of syndicated data such as AC Nielsen and Symphony IRI

• How to pilot and launch CPFR with key accounts/customers

IV. Data Management, Forecasting & Planning Error, and Measurement Metrics

In this module you will learn how to measure performance, and learn what contributes to error in your forecasts and plans. See how to determine cost of error to your business and truly show upper management what it means to the bottom line for each percentage error of improvement. Also, demand planning & forecasting efforts are based upon the availability of reliable, relevant, standardized, and usable data. This module will also discuss processes for cleaning “dirty data” and preparing it for demand forecast use.

KEY LEARNING’S:• How to define and locate data required

for forecasting• How to analyse data including

recognizing useful patterns• How to cleanse “dirty data” and

manage missing data, promotional effects and seasonality

• How to interpret trend and seasonality changes to develop more accurate forecasts

• How to tailor Key Performance Indicators (KPI’s) to your unique organization

• The cost of error to your business, how to calculate it and reduce it

• What Big Data is and how to build a Demand Signal Repository

V. Analytics / Forecasting Models: Time Series Methods & How to Select Which One to Use

Each forecasting model is context dependent, meaning you must identify the required model for the data you are analysing. In this module, you will learn how to develop your own models to respond to the nuances of specific datasets and thus create highly robust forecasts. This module covers the essential principles of model evaluation, selection and development, including the best time series models available, and how to measure their performance. This session includes a hands-on exploration using MS-Excel of common statistical forecasting methods and models found in most popular planning & forecasting systems.

KEY LEARNING’S:• How to evaluate and match data

patterns with forecast models • The fundamental differences between

time series forecasting and cause and effect/ regression models

• How to evaluate accuracy in selecting your model, the expected accuracy and range of forecasts

• Key concepts and terminology of time series forecasting models and methods

• How to disaggregate category level forecasts into SKU forecasts by location or distribution center

• How to prepare a baseline statistical forecast

• Model diagnostics and how to improve the quality of your forecasts

VI. Corporate Benchmarks, Best Practices and Improving Communication in Demand Planning & Forecasting

Successful forecasters always follow developments in the field and seek to learn from industry leaders. IBF facili-tates this by gathering key information and developments from companies on the cutting edge of innovation. We present benchmarks and best prac-tices, and key insights into improving the S&OP process. Plus, this module also includes best practices on how to effectively communicate forecasts & plans to management.

KEY LEARNING’S:• How to resolve conflict and manage

personalities from a range of cultures with varying needs and priorities

• Running an effective review meeting, and how to structure an agenda

• How to gain influence and communicate findings through effective presentation materials

• How to effectively communicate with different levels of management across all functional areas

• How experienced forecasters and demand planners use soft skills in best in class organizations

• How to incorporate benchmarking as a key component of all forecasting and planning processes

VII. New Product Forecasting & Planning: Making Decisions when Little or No data is Available

One of the most challenging parts of forecasting is gauging demand for new products due to lack of historical data and increased uncertainty. This module highlights how judgement, combined with analytical methods can improve the chances of successfully launching new products. Key themes of this module include the optimal qualitative and quantitative models, with insight into characteristics, benefits, and risks. You will learn how to incorporate these models into the wider S&OP process.

KEY LEARNING’S:• How to combine cause and effect

models and diffusion models to maximize forecast accuracy

• How to use both quantitative and qualitative methods in the absence of statistical data

• How to include forecasting throughout your new product development process

• The stakeholders to collaborate with to gain the necessary qualitative insight

• How to modulate your forecasts and forecast methods as new products approach launch date

• The role of judgment and collaboration in new product launches

• Overview on EOL (End-Of-Life) planning/ product phase-outs

VIII. Promotional/ Event driven Forecasting: Quantifying Relationships and Scenario Planning with Regression

For what-if scenarios, regression forecasting models (cause and effect models) are a powerful tool because they allow you to quantify and determine the impact of marketing promotions and price changes on sales, and much more. It affords forecasters the ability to present to management the effects of specific activities to enable better decision making – helping to place forecasting at the heart of company strategy. This interactive module uses datasets, templates, and exercises to illustrate key concepts and to provide practical takeaways for your own organization.

KEY LEARNING’S:• The benefits of cause and effect models • The best scenarios to use regression

models• How to build a cause and effect model

and prepare forecasts • The necessary data requirements for

regression models • How to validate cause and effect

forecasts by putting the model through a diagnostic such as ex-post forecasting

• How to make existing cause and effect models more effective

IX. Demand Planning & Forecasting Software Systems: How to Select and Audit

A forecasting team is only as strong as the software it uses, and choosing the right software for your company and products is not as easy as it seems. Your software serves to take your processes and automate them – this means that as your data and products increase in volume, your software must keep pace. This requires planning and investment. In this module, we will discuss the pitfalls in software selection and what to look for to ensure you find an application that is right for your team’s approach, products and company type. IBF doesn’t support one software vendor over another, meaning you will receive unbiased expert advice on meeting your technology needs in S&OP.

KEY LEARNING’S:• How to establish your team’s software

requirements• Different software types and attributes• The importance of defining your

processes before choosing software to automate them

• The key stakeholders to decide on software requirements and to validate processes prior to software application roll-out

• How to establish a training program before new software is rolled out

• How best in class companies use software to support their forecasting models and data needs

X. Worst Practices in Forecasting & Demand Planning and How to Avoid Them

Implementing best practices is redun-dant unless worst practices are identified and remedied. There are many common mistakes that restrict forecasting and de-mand planning teams’ performance. IBF continually researches worst practices encountered at a variety of organization of all sizes and industries. Common mis-takes damage collaboration, customer service, successful inventory manage-ment, and of course, forecasting perfor-mance. This module explores the dan-gers and pitfalls, and presents lessons learned from commonly made mistakes.

KEY LEARNING’S:• Worst practices in design and

implementation of forecasting processes • Worst practices in structuring and

application of forecasts in decision making

• Worst practices in managing, cleaning, and updating data in preparing forecasts

• Worst practices in selection and specification of a model appropriate to the business decision

• Worst practices in use of metrics for monitoring and evaluating forecast performance

• Worst practices in selection and implementation of forecasting packages and systems

XI. Auto-Regressive Integrated Moving Average (ARIMA) - Box-Jenkins Modelling

A crucial alternative when standard forecasting models do not provide the accuracy you need, the ARIMA (or Box-Jenkins) Models are based on a single time series, but have regression modelling methodology imbedded within them, using regression to calculate current values on historical values. The value of ARIMA models is that they can incorporate cause and effect variables for longer-term forecasting, combining qualitative and quantitative elements to paint a picture of influencing factors and their subsequent outcomes. The flexibility of this powerful approach means it can also be used for short-term forecasts such as daily, weekly or monthly forecasts. ARIMA Models are a tool every forecaster should have in their arsenal, and this module reveals the key concepts and steps for practical application in your own company.

KEY LEARNING’S:• Core concepts and assumptions

underlying ARIMA modelling • What types of data work best for these

models • ARIMA Models vs. Regression Models

and when to use each • How to define Differencing • Types of ARIMA Models to identify the

appropriate model for your products • Real-life case studies from best in

class companies with practical tips and takeaways

ADVANCED MODULES (FOR ACPF PREPARATION)

FOR FURTHER INFORMATION, PLEASE CONTACT US AT: EMAIL: [email protected] | PHONE: +1.516.504.7576 (NEW YORK) | WEB: www.ibf.org

SAVE

BY REQUESTING

TRAINING PROPOSAL THAT PACKAGES IBF

CONFERENCES, MEMBERSHIP, CERTIFICATION,

& MORE

F U N DA M E N TA L M O D U L E S ( F O R C P F P R E PA R AT I O N )

IBF CERTIFICATION – THE GOLD STANDARD

IBF certifi cation is an internationally recognized accreditation that is the hallmark of forecasting and S&OP excellence. It ensures those with forecasting and planning responsibilities have leading practical knowledge that adds value to their organizations. Employers know that professionals holding an IBF certifi cate have the required skills to perform specifi c job functions to the highest standard. Certifi cation and training also encourages progression and innovation in the fi eld - IBF accredited forecasters and demand planners are more likely to foster change, encourage collaboration and consensus, build critical relationships, master Big Data, utilize predictive analytics, and improve company performance

3 LEVELS OF CERTIFICATION1. Certifi ed Professional Forecaster (CPF)2. Advanced Certifi ed Professional Forecaster (ACPF)3. Certifi ed Professional Forecaster –

Candidate (CPF-C)

WHO SHOULD ATTEND

IBF training is developed specifi cally for CEO’s, Department/Functional Heads, Directors, Managers, Leaders, Planners, and Analysts at all levels. Target functions include:

Institute of BusinessForecasting & PlanningPHONE +1.516.504.7576 | EMAIL: [email protected] | WEB: www.ibf.org

ADVANTAGES OF IBF TRAINING

Forecasting is becoming increasingly diffi cult due to outsourcing, globalization, growth of new products, shorter product life-cycles, and more. Big Data is disrupting the industry in unprecedented ways, and this is arguably the greatest challenge – and opportunity - facing businesses today. Leveraging this opportunity is a key way businesses can gain competitive advantage, and it is up to our forecasting & planning professionals to use it to optimize supply chain effi ciency, reduce inventory and decrease operational waste – not to mention driving strategy. Make no mistake, better S&OP and forecasting underpins all efforts to defend, and take, market share. Join IBF to establish and maintain your company’s edge - with the right tools, knowledge and best practices, your organization can exploit the latest innovations in forecasting and S&OP, placing it one step ahead of the competition.

ADVANTAGES:

• BENCHMARKS & BEST PRACTICES: Gain access to valuable benchmarking research, as well as best practices that successful companies are using to win in today’s marketplace. Identify the gaps in staff skills, processes, technology, analytics, data, and correct them through hands-on learning

• UNLOCK THE POWER OF YOUR ERP/DEMAND PLANNING SYSTEM: Learn to leverage the power of your ERP for improved demand planning & forecasting. Most companies only utilize a small percentage of their system’s capabilities. Let us teach you the methods.

• VALUABLE BONUS MATERIALS: Case studies, exercises, data-sets, templates, and complete presentation slides.

• TIME AND LOCATION FLEXIBILITY: IBF training is global as it can be held at any location in the world at any time with adequate notice.

• CERTIFICATION PREPARATION: IBF’s training program prepares participants for the IBF’s Certifi ed Professional Forecaster (CPF) and Advanced Certifi ed Professional Forecaster (ACPF) exams. You have the option to combine the training with IBF’s certifi cation exams.

• INTERACTIVE: IBF’s training is layered with group activities, hands-on exercises in MS Excel, and strongly encourages discussion and debate among participants. Geared towards professionals of all levels, you won’t hear theory, just proven knowledge that works.

• DEMAND PLANNING & FORECASTING AUDIT OPTION: Let the experts at IBF review your processes, data and people as compared to Best Practices and quickly identify the opportunities you’re missing.

• CUSTOMIZATION & CONSULTATION OPTION: Our experts can customize the training material to include your data and specifi c challenges. We will guide you through the change management process, and help support any senior executive engagement. Contact us to learn more!

ABOUT IBF – THE GLOBAL LEADER IN FORECASTING & S&OP

The Institute of Business Forecasting & Planning – IBF is a membership organization recognized worldwide as the premier full-service provider of demand planning, forecasting, analytics, S&OP/ IBP education, benchmarking research, training, certifi cation, eLearning, world-class conferences, and advisory services. For over 30 years, the IBF has been helping businesses improve their forecasting and planning performance to enhance growth, optimize supply chains, and improve their bottom line. No other organization on the globe has as much depth in its educational content for Demand Planning, Forecasting, Predictive Analytics, and S&OP.

CORPORATE TRAINING DELIVERY MODELS – Choose Your Pathway To Certifi cation

STANDARD MODELFull on-site training at location of choice, with the option of completing IBF’s certifi cation exams (2 to 6 days with optional IBF exams)

BLENDED DELIVERY MODELThis is a practical and convenient mix of on-site and LIVE online training that concludes with IBF’s certifi cation exams (13 weeks)

DISTANCE LEARNING MODEL (online only)Live remote learning, delivering the same level of insight as our on-site sessions. Ideal for those who cannot attend the New York location (13 weeks )

E-LEARNING MODEL (online only)A convenient way for companies to train employees and prepare for IBF exams. Delivered online, your staff can learn anywhere. The series contains 12 modules complete with exercises, case-studies, knowledge checks, and support.

Ashland ChemicalBayerBiometBombardierBoston Scientifi cBriggs & StrattonCadburyCaterpillarColemanCotyCumminsDel Monte FoodsDupontGAPGenentechGlaxoSmithKlineGoodyearHeinekenHeinzHillshire BrandsHospiraJarden ConsumerJohnson & JohnsonKellogg’sMarsMattelMcCormickMerckMicronMolsonMotorola/GoogleMcNeil PharmaceuticalNestle/GerberNikePfi zer/WyethPhilip Morris/ AltriaRolls RoyceSABICSan Miguel FoodsSanford BrandsSartomerSaudi AramcoSC JohnsonSocial Security AdministrationTrek BikesUSAAVietnam BreweriesWhirlpool

CLIENTS (Partial List):

(partial list)

• Allocation Planning• Brand & Product

Management• Collaborative Planning,

Forecasting, & Replenishment (CPFR)

• Customer Service• Data Science• Demand Management• Distribution• Economic Analysis• Finance• Information Technology/

ERP• Integrated Business

Planning (IBP)• Inventory Management• Logistics & Transportation• Marketing• Master Scheduling• Master Data• Materials Management

• Merchandise Planning• New Business/ Product

Development• New Product Forecasting &

Planning• Operations• Predictive Analytics/ Big

Data• Procurement/ Buying/

Purchasing• Product Life-Cycle Planning• Production• Retail Collaboration• Sales• Sales & Operations Planning

(S&OP)• Sourcing• Statistical Modeling• Strategic Planning• Supply Chain Management• Trade Promotions Planning• Warehousing

4-17

ON-SITEDEMAND PLANNING, FORECASTING & S&OP CORPORATE TRAINING

“ The training was very thorough and introduced valuable forecasting concepts. It also stimulated discussion on our business process relating to forecasting”

— C. Eland, Demand Management SC JOHNSON

“ More than the enjoyment, I learned so much from the real-life examples and exercises. The training leader was extremely accommodating of questions”

— Elizabeth Tambongco, Business Planning Manager,THE PUREFOODS –HORMEL CO

WHAT COMPANIES ARE SAYING ABOUT IBF TRAINING:

※ ON-DEMAND LEARNING OPTIONS

※ CUSTOM TAILORED UPON REQUEST

※ ASSESSMENTS & ADVISORY

※ UNLOCK THE POWER OF YOUR ERP

※ BENCHMARKS & BEST PRACTICES

※ AVAILABLE GLOBALLY

※ CERTIFICATION PREPARATION

I. Fundamentals of Demand Planning & Forecasting

Demand Planning & Forecasting is a unique combination of art and science, where two very different approaches seek to create a picture of the future. This module covers basic forecasting and planning concepts to effectively combine the quantitative and qualitative elements, and will reveal how the outcomes add value to business planning. Key terminology and concepts are included in this module, as well as insight into the wider role of forecasting and demand planning within an organization.

KEY LEARNING’S:• How to structure a demand planning

process • How effective processes contribute to

forecasting accuracy • Soft skills to “sell” the forecast and gain

buy-in within the organization • Coordinating different roles to work

towards a common goal• The needs, goals and perspectives

of different stakeholders within the forecasting process

• How to manage bias and politics in forecasting & planning

• The benefits of consumption based/ POS forecasting

II. Basics of Demand Forecasting and The Drivers For Operations/ Supply Chain Planning

Forecasting and planning has the power to cut costs in supply chain and free capital for other initiatives. This module builds on the basics to reveal the practical processes used in leading organizations to drive efficiency, including the Consensus Meeting and the Single Number Forecast. Learn how to compute safety stocks with demand forecasts to ensure the correct margin of error and manage inventory with the lowest costs possible. You will also learn best practices and processes that you can implement in your own organizations.

KEY LEARNING’S:• How to design a goal driven demand

planning & forecasting process • How to integrate management, user

needs, and marketing intelligence into one process

• How to establish priorities for forecasting & planning

• Key considerations and drivers such as the Bullwhip effect and customer fulfilment issues

• How to achieve a consensus forecast with a single number

III. Internal & External Collaboration: S&OP and CPFR

The demand plan is ultimately designed to be incorporated into the S&OP process for better decision making. This integration allows businesses to meet demand with supply and take the necessary steps to achieve financial goals. Collaborative Planning, Forecasting & Replenishment (CPFR) is an external collaborative approach that is uniquely effective in meeting these goals, harnessing POS/Syndicated data for consumer centric forecasting. This module reveals the steps to achieving collaboration and establishing an effective S&OP process.

KEY LEARNING’S:• How to design and implement an

effective S&OP process • How to structure and manage the

monthly S&OP cycle • How to organize and manage S&OP

meetings and ensure top management support

• Demand Sensing & Shaping, balancing supply with demand to achieve financial goals

• CPFR basics, success factors and challenges

• Sources of syndicated data such as AC Nielsen and Symphony IRI

• How to pilot and launch CPFR with key accounts/customers

IV. Data Management, Forecasting & Planning Error, and Measurement Metrics

In this module you will learn how to measure performance, and learn what contributes to error in your forecasts and plans. See how to determine cost of error to your business and truly show upper management what it means to the bottom line for each percentage error of improvement. Also, demand planning & forecasting efforts are based upon the availability of reliable, relevant, standardized, and usable data. This module will also discuss processes for cleaning “dirty data” and preparing it for demand forecast use.

KEY LEARNING’S:• How to define and locate data required

for forecasting• How to analyse data including

recognizing useful patterns• How to cleanse “dirty data” and

manage missing data, promotional effects and seasonality

• How to interpret trend and seasonality changes to develop more accurate forecasts

• How to tailor Key Performance Indicators (KPI’s) to your unique organization

• The cost of error to your business, how to calculate it and reduce it

• What Big Data is and how to build a Demand Signal Repository

V. Analytics / Forecasting Models: Time Series Methods & How to Select Which One to Use

Each forecasting model is context dependent, meaning you must identify the required model for the data you are analysing. In this module, you will learn how to develop your own models to respond to the nuances of specific datasets and thus create highly robust forecasts. This module covers the essential principles of model evaluation, selection and development, including the best time series models available, and how to measure their performance. This session includes a hands-on exploration using MS-Excel of common statistical forecasting methods and models found in most popular planning & forecasting systems.

KEY LEARNING’S:• How to evaluate and match data

patterns with forecast models • The fundamental differences between

time series forecasting and cause and effect/ regression models

• How to evaluate accuracy in selecting your model, the expected accuracy and range of forecasts

• Key concepts and terminology of time series forecasting models and methods

• How to disaggregate category level forecasts into SKU forecasts by location or distribution center

• How to prepare a baseline statistical forecast

• Model diagnostics and how to improve the quality of your forecasts

VI. Corporate Benchmarks, Best Practices and Improving Communication in Demand Planning & Forecasting

Successful forecasters always follow developments in the field and seek to learn from industry leaders. IBF facili-tates this by gathering key information and developments from companies on the cutting edge of innovation. We present benchmarks and best prac-tices, and key insights into improving the S&OP process. Plus, this module also includes best practices on how to effectively communicate forecasts & plans to management.

KEY LEARNING’S:• How to resolve conflict and manage

personalities from a range of cultures with varying needs and priorities

• Running an effective review meeting, and how to structure an agenda

• How to gain influence and communicate findings through effective presentation materials

• How to effectively communicate with different levels of management across all functional areas

• How experienced forecasters and demand planners use soft skills in best in class organizations

• How to incorporate benchmarking as a key component of all forecasting and planning processes

VII. New Product Forecasting & Planning: Making Decisions when Little or No data is Available

One of the most challenging parts of forecasting is gauging demand for new products due to lack of historical data and increased uncertainty. This module highlights how judgement, combined with analytical methods can improve the chances of successfully launching new products. Key themes of this module include the optimal qualitative and quantitative models, with insight into characteristics, benefits, and risks. You will learn how to incorporate these models into the wider S&OP process.

KEY LEARNING’S:• How to combine cause and effect

models and diffusion models to maximize forecast accuracy

• How to use both quantitative and qualitative methods in the absence of statistical data

• How to include forecasting throughout your new product development process

• The stakeholders to collaborate with to gain the necessary qualitative insight

• How to modulate your forecasts and forecast methods as new products approach launch date

• The role of judgment and collaboration in new product launches

• Overview on EOL (End-Of-Life) planning/ product phase-outs

VIII. Promotional/ Event driven Forecasting: Quantifying Relationships and Scenario Planning with Regression

For what-if scenarios, regression forecasting models (cause and effect models) are a powerful tool because they allow you to quantify and determine the impact of marketing promotions and price changes on sales, and much more. It affords forecasters the ability to present to management the effects of specific activities to enable better decision making – helping to place forecasting at the heart of company strategy. This interactive module uses datasets, templates, and exercises to illustrate key concepts and to provide practical takeaways for your own organization.

KEY LEARNING’S:• The benefits of cause and effect models • The best scenarios to use regression

models• How to build a cause and effect model

and prepare forecasts • The necessary data requirements for

regression models • How to validate cause and effect

forecasts by putting the model through a diagnostic such as ex-post forecasting

• How to make existing cause and effect models more effective

IX. Demand Planning & Forecasting Software Systems: How to Select and Audit

A forecasting team is only as strong as the software it uses, and choosing the right software for your company and products is not as easy as it seems. Your software serves to take your processes and automate them – this means that as your data and products increase in volume, your software must keep pace. This requires planning and investment. In this module, we will discuss the pitfalls in software selection and what to look for to ensure you find an application that is right for your team’s approach, products and company type. IBF doesn’t support one software vendor over another, meaning you will receive unbiased expert advice on meeting your technology needs in S&OP.

KEY LEARNING’S:• How to establish your team’s software

requirements• Different software types and attributes• The importance of defining your

processes before choosing software to automate them

• The key stakeholders to decide on software requirements and to validate processes prior to software application roll-out

• How to establish a training program before new software is rolled out

• How best in class companies use software to support their forecasting models and data needs

X. Worst Practices in Forecasting & Demand Planning and How to Avoid Them

Implementing best practices is redun-dant unless worst practices are identified and remedied. There are many common mistakes that restrict forecasting and de-mand planning teams’ performance. IBF continually researches worst practices encountered at a variety of organization of all sizes and industries. Common mis-takes damage collaboration, customer service, successful inventory manage-ment, and of course, forecasting perfor-mance. This module explores the dan-gers and pitfalls, and presents lessons learned from commonly made mistakes.

KEY LEARNING’S:• Worst practices in design and

implementation of forecasting processes • Worst practices in structuring and

application of forecasts in decision making

• Worst practices in managing, cleaning, and updating data in preparing forecasts

• Worst practices in selection and specification of a model appropriate to the business decision

• Worst practices in use of metrics for monitoring and evaluating forecast performance

• Worst practices in selection and implementation of forecasting packages and systems

XI. Auto-Regressive Integrated Moving Average (ARIMA) - Box-Jenkins Modelling

A crucial alternative when standard forecasting models do not provide the accuracy you need, the ARIMA (or Box-Jenkins) Models are based on a single time series, but have regression modelling methodology imbedded within them, using regression to calculate current values on historical values. The value of ARIMA models is that they can incorporate cause and effect variables for longer-term forecasting, combining qualitative and quantitative elements to paint a picture of influencing factors and their subsequent outcomes. The flexibility of this powerful approach means it can also be used for short-term forecasts such as daily, weekly or monthly forecasts. ARIMA Models are a tool every forecaster should have in their arsenal, and this module reveals the key concepts and steps for practical application in your own company.

KEY LEARNING’S:• Core concepts and assumptions

underlying ARIMA modelling • What types of data work best for these

models • ARIMA Models vs. Regression Models

and when to use each • How to define Differencing • Types of ARIMA Models to identify the

appropriate model for your products • Real-life case studies from best in

class companies with practical tips and takeaways

ADVANCED MODULES (FOR ACPF PREPARATION)

FOR FURTHER INFORMATION, PLEASE CONTACT US AT: EMAIL: [email protected] | PHONE: +1.516.504.7576 (NEW YORK) | WEB: www.ibf.org

SAVE

BY REQUESTING

TRAINING PROPOSAL THAT PACKAGES IBF

CONFERENCES, MEMBERSHIP, CERTIFICATION,

& MORE

FUNDAMENTAL MODULES (FOR CPF PREPARATION)