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SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:  \n \n\nNovember 17-19 Sold Out\n\nFebruary 9-11 Registration\n\n  \n  \n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. \nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 3 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n\n\nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n\n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nExtensions to Exponential Smoothing \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nEvent-Index Models \nMultiple-Level Forecasting \nNew Product Forecasting \nAdditional On-Demand Presentations\nComponents of Data \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\nNovember 17-19 Sold Out\n\nFebruary 9-11 Registration\n\n  \n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 22 and attendees will be registered on a first-come-first-served basis. \nHours: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Standard Time (UTC/GMT -5 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on the first Tuesday following the workshop. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\nNovember 17-19 Sold Out\n\nFebruary 9-11 Registration
URL:https://dev.forecastpro.com/event/workshop-forecasting-techniques-applications-and-best-practices-november-2020/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2020/07/November-Workshop_with_FPLogo-SOLD-OUT-.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201022T110000
DTEND;TZID=America/New_York:20201022T120000
DTSTAMP:20260418T132730
CREATED:20200902T143316Z
LAST-MODIFIED:20201022T202615Z
UID:10000042-1603364400-1603368000@dev.forecastpro.com
SUMMARY:Free Live Webinar: Forecasting Demand in the Face of a Pandemic: What now?
DESCRIPTION:Click Here to Register Now!\n  \nAt the onset of the pandemic\, BFS presented webinars intended to provide guidance on how to create your forecasts throughout all phases of a pandemic—including the initial stage\, the uncertain months ahead and the subsequent “new normal”. In this webinar\, James Berry\, Director of Training and Sarah Darin\, Senior Consultant\, will provide updated guidance on forecasting in the midst of a pandemic\, now that we are well immersed in the current crisis and have a better understanding of how businesses have been impacted. Using real data\, James and Sarah will provide an overview of the Forecast Pro methods and techniques that can help you generate more accurate forecasts as we enter a “new normal”. \nWe anticipate that this webinar will include an extended Q&A session\, and we encourage people to reach out in advance with questions you may have. If you would like to submit a question in advance\, please email sdarin@forecastpro.com with subject line “Webinar question”.
URL:https://dev.forecastpro.com/event/free-live-webinar-forecasting-demand-in-the-face-of-a-pandemic-what-now/
LOCATION:Free Live Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2020/09/covid-meeting-with-FP-logo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200922
DTEND;VALUE=DATE:20200925
DTSTAMP:20260418T132730
CREATED:20200714T203805Z
LAST-MODIFIED:20200908T205802Z
UID:10000040-1600732800-1600991999@dev.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:September 22-24 Sold Out\n\n\nNovember 17-19 Registration\n\n  \n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. \nThe core of the workshop is 13.5 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 8 modules presented in the live sessions along with 3 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n\n\nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n\n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nDay 2\nExtensions to Exponential Smoothing \nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nDay 3\nEvent-Index Models \nMultiple-Level Forecasting \nNew Product Forecasting \nAdditional On-Demand Presentations\nComponents of Data \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nExtensions to Exponential Smoothing\nThis session examines three useful extensions to the exponential smoothing model family. The first is the NA-CL model which will often improve forecast accuracy for data sets that exhibit a “selling season” whereby the majority of the demand occurs at specific times of the year (e.g.\, snow shovels\, flu vaccines\, etc.). The second is the Croston’s Intermittent Demand Model which is used to forecast data that exhibit frequent zero demand periods. The third is the Custom Component Model which allows some of the components to be estimated from the data and others to be customized by the forecaster. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \n\n\nRegistration\n\nSeptember 22-24 Sold Out\n\n\nNovember 17-19 Registration\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. A Team Discount price of $395 per attendee is available to organizations registering 3 or more attendees. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 22 and attendees will be registered on a first-come-first-served basis. \nHours: The workshop will run from 11:00 a.m. to 3:30 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on the first Tuesday following the workshop. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\nSeptember 22-24 Sold Out\n\n\nNovember 17-19 Registration
URL:https://dev.forecastpro.com/event/workshop-forecasting-techniques-applications-and-best-practices-september-2020/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2020/07/September-Workshop_with_FPLogo-SOLD-OUT.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200818
DTEND;VALUE=DATE:20200821
DTSTAMP:20260418T132730
CREATED:20200630T205359Z
LAST-MODIFIED:20200730T150902Z
UID:10000039-1597708800-1597967999@dev.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:August 18-20\nSold Out\n\n\nSeptember 22-24 Registration\n\n\nNovember 17-19 Registration\n\n  \n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. \nThe core of the workshop is 12 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 9 modules presented in the live sessions along with 3 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n\n\nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n\n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nExtensions to Exponential Smoothing \nDay 2\nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nEvent-Index Models \nDay 3\nMultiple-Level Forecasting \nNew Product Forecasting \nVirtual Workshop \nAdditional On-Demand Presentations\nComponents of Data \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \nVirtual Workshop\nThis session provides the opportunity for attendees to discuss their forecasting processes and challenges with the instructors and other attendees. When attendees are willing to share their Forecast Pro projects with the group (there are usually a few who do) we walk through their current approaches and make recommendations for improvements. \n\n\nRegistration\n\nAugust 18-20\nSold Out\n\n\nSeptember 22-24 Registration\n\n\nNovember 17-19 Registration\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 22 and attendees will be registered on a first-come-first-served basis. \nHours: The workshop will run from 11:00 a.m. to 3:00 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on the first Tuesday following the workshop. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\nAugust 18-20\nSold Out\n\n\nSeptember 22-24 Registration\n\n\nNovember 17-19 Registration
URL:https://dev.forecastpro.com/event/workshop-forecasting-techniques-applications-and-best-practices-august-2020/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2020/07/August-Workshop_with_FPLogo-SOLD-OUT.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20200721
DTEND;VALUE=DATE:20200724
DTSTAMP:20260418T132730
CREATED:20190805T132451Z
LAST-MODIFIED:20200720T133007Z
UID:10000033-1595289600-1595548799@dev.forecastpro.com
SUMMARY:Online Workshop: Business Forecasting Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:July 21-23 Registration\n\n\nAugust 18-20\nSold Out\n\n\nSeptember 22-24 Registration\n\n  \n\nWorkshop Overview\nYou will leave this comprehensive three-day educational course with an understanding of forecasting techniques\, including how they work and how to apply them in a real business environment. The workshop surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. \nThe core of the workshop is 12 hours of live interactive presentations presented over a 3-day period. During the live sessions you will have the opportunity to pose questions to the instructors in real time as well as interact with the other attendees. \nThe workshop also includes 2 weeks of access to the workshop’s streaming channel and a 2-hour office hours session. The streaming channel provides on-demand access to prerecorded versions of the 9 modules presented in the live sessions along with 3 additional modules not covered in the live sessions. Office hours provide a 2-hour period the week after the live workshop where instructors will be available to answer questions regarding all topics covered in the workshop. \n\n\nWho should attend?\nThe workshop is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \n\n  \n \n\n\n\nAgenda At-a-GlancePresentation DescriptionsAgenda At-a-Glance\nDay 1\nIntroduction to Forecasting \nExponential Smoothing \nExtensions to Exponential Smoothing \nDay 2\nForecast Accuracy and Evaluation \nIdentifying Problems in Your Forecasting Process \nEvent-Index Models \nDay 3\nMultiple-Level Forecasting \nNew Product Forecasting \nVirtual Workshop \nAdditional On-Demand Presentations\nComponents of Data \nBox-Jenkins (ARIMA) Models \nDynamic Regression \nPresentation Descriptions\nIntroduction to Forecasting\nA broad overview of business forecasting and its various uses within the organization. Topics include approaches to forecasting\, features of data\, the role of judgment\, selection of appropriate forecasting methods for varied data sets and resources for forecasters. \nComponents of Data\nAn in-depth look at the different components found in time series data including trends\, seasonal patterns\, business cycles\, trading-day variations\, interventions (events) and noise. Discussion includes the forms the components can take\, spotting local vs. global components\, interpretation of business cycle indicators and the use of decomposition routines. \nExponential Smoothing\nA survey of exponential smoothing techniques with particular emphasis on the Holt-Winters family of models and Croston’s intermittent demand model. Topics include the pros and cons of using these models\, when they are best used\, how they work\, identifying model components\, parameter optimization and model diagnosis. \nBox-Jenkins (ARIMA) Models:\nAn exploration into the use of ARIMA models for business forecasting. Topics include the advantages/disadvantages of using these models\, how and when they should be applied\, automatic identification procedures and model diagnostics. \nForecast Accuracy and Evaluation\nA detailed look at evaluating the accuracy of forecasting methods. Topics include the distinction between within-sample and out-of-sample errors\, a survey of error measurement statistics\, a summary of findings from forecasting competitions\, and an explanation of how to use both real-time tracking reports and simulations as predictors of model performance. \nIdentifying Problems in Your Forecasting Process\nApproaches for focusing on critical items when forecasting large volumes of data. Topics include evaluating and forecasting SKU data\, filtering and ABC (Pareto) classification\, outlier detection and correction\, exception reporting and measuring accuracy across multiple time series. \nEvent-Index Models\nEvent-index models extend the functionality of exponential smoothing models by providing adjustments for promotions\, strikes and other non-calendar-based events. This session addresses how these models work\, how and when they should be used\, and how to customize their design to best suit your needs. \nMultiple-Level Forecasting\nThis session explores hierarchical forecasting techniques. Topics include the need for forecasting at various levels\, product vs. geographical hierarchies\, reconciliation strategies\, top-down vs. bottom-up approaches\, the use of proportional allocation and adjustment for seasonality. \nNew Product Forecasting\nThis session explores various approaches for forecasting new products. Topics include the pros and cons of different methods based on a product’s classification and a review of popular methods including item supersession\, forecast by analogy and the Bass diffusion model. \nDynamic Regression\nA detailed look into the ins and outs of regression fore­casting. Topics include when regression models are best applied\, how to build the models\, ordinary least squares\, leading indicators\, lagged variables\, Cochrane-Orcutt models\, hypothesis testing and the use of “dummy” vari­ables. \nVirtual Workshop\nThis session provides the opportunity for attendees to discuss their forecasting processes and challenges with the instructors and other attendees. When attendees are willing to share their Forecast Pro projects with the group (there are usually a few who do) we walk through their current approaches and make recommendations for improvements. \n\n\nRegistration\n\nJuly 21-23 Registration\n\n\nAugust 18-20\nSold Out\n\n\nSeptember 22-24 Registration\n\n\nRegistration Fee: The registration fee is $495 USD per attendee. \nClass size: Due to the interactive nature of the live presentations\, attendance is limited to 22 and attendees will be registered on a first-come-first-served basis. \nHours: The workshop will run from 11:00 a.m. to 3:00 p.m. each day (USA Eastern Daylight Time (UTC/GMT -4 hours)). The office hours session will run from 11:00 a.m. to 1:00 p.m on the first Tuesday following the workshop. \nCancellation Policy: The workshop is limited in size and we ask that if you must cancel to please inform us as soon as possible. Attendees may receive a full refund if cancellation is made 14 days or more prior to the start of the workshop. Registrants who fail to attend or cancel less than 14 days before the start date are not entitled to receive a refund. Personnel substitutions may be made at any time. \n\n\n\n\n\n \n\n\nInstructors\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this workshop. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n  \n\n\n\n\nJuly 21-23 Registration\n\n\nAugust 18-20\nSold Out\n\n\nSeptember 22-24 Registration
URL:https://dev.forecastpro.com/event/workshop-forecasting-techniques-applications-and-best-practices-july-2020/
LOCATION:Live Online Interactive Workshop
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2020/06/July-Workshop_with_FPLogo-.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200716T110000
DTEND;TZID=America/New_York:20200716T120000
DTSTAMP:20260418T132730
CREATED:20200622T165221Z
LAST-MODIFIED:20200701T120402Z
UID:10000038-1594897200-1594900800@dev.forecastpro.com
SUMMARY:Free Live Webinar: How Bell’s Brewery Improved Supply Planning with Forecast Pro
DESCRIPTION:Click Here to Register Now!\n  \nIn this webinar\, Blake Violette\, Forecast Manager at Bells Brewery\, will discuss implementing Forecast Pro and how to manage a successful first year.  Blake will give an overview of some of the challenges Bell’s Brewery faced in their implementation process\, as well as some of the benefits they have reaped from integrating Forecast Pro into their forecasting and S&OP processes
URL:https://dev.forecastpro.com/event/free-live-webinar-how-bells-brewery-improved-supply-planning-with-forecast-pro/
LOCATION:Free Live Webinar
CATEGORIES:Forecast Pro Event
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200428T103000
DTEND;TZID=America/New_York:20200428T113000
DTSTAMP:20260418T132730
CREATED:20200423T164937Z
LAST-MODIFIED:20211013T154129Z
UID:10000036-1588069800-1588073400@dev.forecastpro.com
SUMMARY:Free Live Webinar: Forecasting Demand in the Face of a Pandemic
DESCRIPTION:Click Here to Register Now!\n  \nJust as the COVID-19 pandemic is disrupting all of our lives\, it is having a major impact on virtually all businesses. You are probably wondering how to create your demand forecasts given the pervasive uncertainty that this unprecedented global event has triggered. \nIn this Webinar Eric Stellwagen\, CEO\, and Sarah Darin\, Senior Consultant\, will provide pragmatic insight into how to create your forecasts throughout all phases of the pandemic—including the current initial stage\, the uncertain months ahead and the subsequent “new normal” that will emerge. Drawing upon their extensive expertise in forecasting approaches that have been successfully used during other business disruptions\, they will profile several business categories\, review the methods that are best suited to each group and demonstrate these approaches in Forecast Pro TRAC using real-world examples. \nNote: even if you can’t attend the live Webinar\, by registering now you will be automatically notified when the recorded session is available for viewing on demand.
URL:https://dev.forecastpro.com/event/free-live-webinar-forecasting-demand-in-face-of-pandemic/
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2020/04/cvirus-connection-4884862_1920.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20200123T133000
DTEND;TZID=America/New_York:20200123T143000
DTSTAMP:20260418T132730
CREATED:20191021T202916Z
LAST-MODIFIED:20210322T140339Z
UID:10000035-1579786200-1579789800@dev.forecastpro.com
SUMMARY:Free Live Webinar: Tracking Accuracy: An Essential Step to Improve Your Forecasting Process
DESCRIPTION:Click Here to Register Now!\n  \nTo improve the forecasting process in your organization\, it is critical to measure and monitor performance to know what is working and what isn’t. You can achieve this—and realize other significant benefits—by tracking forecast accuracy. In this educational one-hour session you will learn: \n• Why it is important to track accuracy\n• The differences between within-sample and out-of-sample errors\n• Approaches to measuring forecast error\n• The pros and cons of popular accuracy measures\n• How to implement accuracy tracking\n• How exception reports can streamline the review process \nIn this one-hour live Webinar\, Eric Stellwagen\, CEO\, and Sarah Darin\, Senior Consultant at Business Forecast Systems\, Inc.\, will demonstrate how to apply best practices and avoid common pitfalls using examples with real corporate data. \nNote: even if you can’t attend the live Webinar\, by registering now you will be automatically notified when the recorded session is available for viewing on demand.
URL:https://dev.forecastpro.com/event/free-live-webinar-tracking-accuracy-an-essential-step-to-improve-your-forecasting-process/
LOCATION:Online Webinar
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2019/10/tracking-accuracy-webinar.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20191113
DTEND;VALUE=DATE:20191115
DTSTAMP:20260418T132730
CREATED:20190918T174728Z
LAST-MODIFIED:20190918T181914Z
UID:10000034-1573603200-1573775999@dev.forecastpro.com
SUMMARY:Foresight Practitioner Conference
DESCRIPTION:Click here for more information\n  \nThis year’s conference—organized by the respected practitioner journal Foresight—explores the potential impacts of Artificial Intelligence on forecasting and planning. How will jobs and organizations be affected when AI amplifies\, supplements and even substitutes for forecaster and planner roles? Eric Stellwagen\, CEO and co-founder of BFS\, will present A Winning Combination for Increasing Accuracy: AI-based Automatic Forecasting & Domain Knowledge.
URL:https://dev.forecastpro.com/event/foresight-practitioner-conference/
LOCATION:Chapel Hill\, North Carolina
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/jpeg:https://dev.forecastpro.com/wp-content/uploads/2019/09/Rizzo_Dubose_front-lawn-horizontal-side-CRPD1440x460-e1568830624280.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20191022T133000
DTEND;TZID=America/New_York:20191022T143000
DTSTAMP:20260418T132730
CREATED:20190722T163736Z
LAST-MODIFIED:20190722T212213Z
UID:10000032-1571751000-1571754600@dev.forecastpro.com
SUMMARY:Free Live Webinar: Smart Strategies for Designing\, Implementing and Improving an Effective Demand Forecasting Process
DESCRIPTION:Click Here to Register Now!\n  \nFor many companies\, developing a successful forecasting process can seem daunting considering the challenges that may arise at each step along the way. In this educational one-hour live Webinar\, James Berry\, Senior Consultant at Business Forecast Systems\, Inc. will review a framework to help your forecasting team create a roadmap for designing\, implementing and improving upon your forecasting process. \nDrawing upon his extensive experience\, James will discuss the practical challenges organizations face when creating and implementing forecasting processes—and reveal pragmatic ways to overcome them. With a focus on best practices\, he will address: \n\ncreating a forecast process\nsetting up hierarchies and data effectively\nincorporating outside data\ncollaborating with others to establish the final forecasts\nmeasuring and tracking forecast accuracy\ngaining acceptance for the forecasts within the organization\n\nUsing real-world examples\, James will demonstrate how Forecast Pro can be used to support effective forecasting processes.
URL:https://dev.forecastpro.com/event/free-live-webinar-smart-strategies-for-designing-implementing-and-improving-an-effective-demand-forecasting-process/
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2019/07/oct-webinar-thumbnail-with-logo.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20190911
DTEND;VALUE=DATE:20190914
DTSTAMP:20260418T132730
CREATED:20190328T212206Z
LAST-MODIFIED:20190813T150301Z
UID:10000026-1568160000-1568419199@dev.forecastpro.com
SUMMARY:Business Forecasting: Techniques\, Best Practices & Application Using Forecast Pro
DESCRIPTION:Detailed Agenda & Seminar Info\n\n \nSeminar Overview\nThis seminar surveys the most commonly used business forecasting methods\, explains how they work conceptually\, discusses their pros and cons\, and demonstrates best practices for implementing them in a real-world environment using Forecast Pro. You will leave with insight into all aspects of business forecasting and a working knowledge of proven forecasting methods. \nDuring the hands-on workshops\, you will have the opportunity to solve your forecasting challenges by applying what you have learned using state-of-the-art software under the guidance of expert instructors. \n\n \nSeminar Highlights\n\nIntroduction to business forecasting\nComponents of data\nTime series methods including Exponential Smoothing\, Box-Jenkins and the Croston’s intermittent demand model\nAdvanced techniques including event modeling\, top-down reconciliation and dynamic regression\nNew product forecasting methods\nForecast accuracy and evaluation\nLarge scale & multiple-level forecasting\nComputer workshops using Forecast Pro\n\n\n \nWho should attend?\nThe seminar is valuable for anyone whose job responsibilities include preparing or analyzing forecasts—some prior knowledge of statistics is helpful but not essential. The tutorials use Forecast Pro and real-world data to provide a deeper understanding of the forecasting methods and to show best practices; these lessons are applicable regardless of which forecasting software your organization uses. \nThe seminar also provides a great opportunity to network with your peers to discover how they’ve solved problems similar to your own and to compare notes on forecasting practices. You will be able to make valuable connections with other Forecast Pro users during breaks\, lunches and at Wednesday evening’s cocktail reception which provides a relaxing environment for socializing after the first day of the seminar concludes. \nSeminar attendees are eligible to receive a discount of up to $1\,000 USD when licensing Forecast Pro Software. \nDetailed Agenda & Seminar Info\n\n\n\n\n \nInstructors\n\n\n\nEric Stellwagen\n \nEric Stellwagen is the co-founder of Business Forecast Systems\, Inc. (BFS) and the co-author of the Forecast Pro software product line. With more than 30 years of expertise in the field\, he regularly presents workshops and publishes on the topic of business forecasting\, and is widely recognized as a leading educator on the subject. Drawing upon his extensive consulting experience helping organizations to address their forecasting challenges\, Eric infuses his classes with practical approaches and uses real-world data to illustrate concepts. He has worked with many leading firms including Coca-Cola\, Kraft\, Merck\, Nabisco\, Owens-Corning and Verizon and has presented workshops for a variety of organizations including APICS\, the International Institute of Forecasters (IIF)\, the Institute of Business Forecasting (IBF)\, the Institute for Operations Research and the Management Sciences (INFORMS)\, and the University of Tennessee. Eric served on the board of directors of the IIF for 12 years and is currently serving on the practitioner advisory board of Foresight: The International Journal of Applied Forecasting. \nSarah Darin\n\n \nSarah Darin has 20  years of experience with statistical consulting\, sales forecasting\, regression modeling and marketing analytics. Sarah holds a Master’s of Science in Statistics from the University of Chicago\, where she also served as a Lecturer for two years. She has consulted for clients across a broad range of industries\, including Consumer Packaged Goods\, Telecommunications\, Technology\, Retail\, Automotive and Finance. Before joining BFS\, Sarah was Vice President of Consulting Services at Nielsen where she focused on custom analytic solutions for the CPG and Expanded Vertical practices\, teaching customers how to efficiently integrate\, manage\, model and forecast large-scale datasets. Sarah’s ability to understand and explain statistical concepts in the context of real-world\, messy data makes her an ideal instructor for this seminar. Sarah received her undergraduate degree in Applied Mathematics from Harvard University. \n\n\n\n\n\n\nVenue\n \n \n\n Hotel Zoe\n425 North Point Street\nSan Francisco\, CA 94133\nhttps://www.hotelzoesf.com\nHotel Direct: (415) 561-1100\nReservations: (800) 648-4626\n\n\n \nThe seminar will be held at Hotel Zoe which is located in the popular Fisherman’s Wharf district of the city near Pier 39. Attendees can reserve rooms at the hotel at the discounted rate of $279 per night until August 21\, 2019. Reservations can be made online by clicking here or via phone by calling (800) 648-4262 and using the code BFORECASTING \n\nDetailed Agenda & Seminar Info
URL:https://dev.forecastpro.com/event/seminar-in-san-francisco-ca-techniques-applications-and-best-practices/
LOCATION:San Francisco\, CA
CATEGORIES:Forecast Pro Event
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190717T133000
DTEND;TZID=America/New_York:20190717T143000
DTSTAMP:20260418T132730
CREATED:20190619T195025Z
LAST-MODIFIED:20210826T194216Z
UID:10000030-1563370200-1563373800@dev.forecastpro.com
SUMMARY:Free Live Webinar: How to Integrate Replenishment Models with your Forecasting Process
DESCRIPTION:Click here to register\nOptimizing inventory levels has always been a challenge\, and in today’s environment—with highly-informed customers\, SKU proliferation and omni-channel order processes—it is even harder to reach that goal. By building replenishment models that complement your business forecasting processes\, your company can manage inventory more effectively to keep it flowing efficiently through the Supply Chain. \n In this educational one-hour live Webinar\, Marco Arias Vargas\, Founding Partner of Macrologistica and seasoned Supply Chain educator\, will review: \n\nthe role of replenishment models in the Supply Chain; \ncommonly-used replenishment strategies;\nkeys for tailoring a replenishment strategy to meet the needs of your organization; and\napproaches for integrating replenishment models with your forecasting process. \n\nMarco will demonstrate several replenishment models that he has built using Forecast Pro TRAC and report on the benefits achieved from better inventory management.
URL:https://dev.forecastpro.com/event/free-live-webinar-how-to-integrate-replenishment-models-with-your-forecasting-process/
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/png:https://dev.forecastpro.com/wp-content/uploads/2019/06/july-webinar-thumbnail-with-logo.png
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20190616
DTEND;VALUE=DATE:20190620
DTSTAMP:20260418T132730
CREATED:20190520T204603Z
LAST-MODIFIED:20190605T142304Z
UID:10000027-1560643200-1560988799@dev.forecastpro.com
SUMMARY:International Symposium on Forecasting
DESCRIPTION:The International Symposium on Forecasting (ISF) is the premier forecasting conference\, attracting the world’s leading forecasting researchers\, practitioners\, and students. Through a combination of keynote speaker presentations\, academic sessions\, workshops\, and social programs\, the ISF provides many excellent opportunities for networking\, learning\, and fun. \nBusiness Forecast Systems (the makers of Forecast Pro) will be running a preconference workshop entitled\, Business Forecasting: Techniques\, Application and Best Practices on Sunday\, June 16th  and will be exhibiting at the conference—stop by and say hello!
URL:https://dev.forecastpro.com/event/international-symposium-on-forecasting/
LOCATION:Thessaloniki\, Greece
CATEGORIES:Forecast Pro Event
ATTACH;FMTTYPE=image/jpeg:https://dev.forecastpro.com/wp-content/uploads/2019/05/iif-greece-banner-c.jpg
ORGANIZER;CN="International Institute of Forecasters":MAILTO:isf@forecasters.org
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