Name: PREDICTIVE BUSINESS ANALYTICS FORECASTING & PLANNING CONFERENCE
Start: 2020-04-28
Location: Harrah's Hotel

Why Attend
Pre-Conference Workshop
About Us

This event was originally scheduled for April 28-30, 2020.

Due to precautionary measures taken in response to Covid-19, we are rescheduling it for late July 2020.

We will update this page with the exact date once confirmed.

Reserve Your Space Without Obligation

Need time to get approval? No worries.
Reserve seat, lock-in discounted rate, and pay later.

This event was very informative and there were great ideas presented that I will be using to improve our forecasting process.

Barbara Thomas, Demand Planning Manager, Ecolab, Inc.

IBF’s 5th Annual Predictive Business Analytics, Forecasting & Planning Conference is a comprehensive program covering everything about predicting the future using new sources of data, methods, tools, talent management approaches, and more to become confident with our decision making and business plans.

Why YOU should Attend:

Understand how to create a data driven culture in your organization and win
Learn how to turn Big Data into valuable insights for better operations planning
Learn how to apply predictive analytics to the S&OP process for maximum impact
Learn how to use social media, point-of-sale (POS), syndicated data, and other attributes to predict sales
Gain knowledge on emerging technology tools for predictive analytics & business forecasting that are making organizations more profitable
Learn how to optimize inventory and customer service through improved business analytics
See the significant financial benefits that can result from improving the analytics capabilities within your organization
Learn how to mitigate risk through predictive analytics
And much more

Event Speakers

Bastien Murzeau

Mangrove

CEO

Deepak Jose

Mars Inc.

Global Director, Demand Analytics

Deepak Jose is a digital transformation and commercial strategy professional and is currently the Head of Business Strategy and Advanced Analytics at Mars. He leads analytics transformation programs for Pet Care, Mars Wrigley, Food, and Multi Sales segments to drive profitable growth for Mars and its customers. He leads a global team of data scientists and business translators driving digital transformations. Prior to Mars, Deepak worked for Coca-Cola, ABB, and Mu Sigma. He holds an MBA from George Washington University School of Business and a degree in Mechanical Engineering from NIT in Calicut, India. He is also an Executive Data Council member at BCI Summit-based out of New York, and co-author of the international bestselling book, Leading through Pandemic - Unconventional Wisdom from Heartfelt Leaders.

Amir Kalantari

LLamasoft

Product Manager, Demand Forecasting Solutions

Audrey McClain

HARRY’S

Sr. Forecast and Replenishment Analyst

Audrey McClain currently works as a Sr. Forecast and Replenishment Analyst for Harry's. Her key experiences include CPFR, sales and operations forecasting, new product forecasting, data analytics, and master data management. She holds a BSc in International Business and Supply Chain Management from the University of Arkansas. Audrey is passionate about affecting change through supply chain optimization and currently focuses on supply chain and forecast optimization in the consumer packaged goods industry.

Wes Womer

KSM

Transaction Advisory Services Manager

Wes started his career as a Finance Analyst at Johnson & Johnson and Body Shop of America before moving into a Financial Planning role at Stanley Black and Decker. After being exposed to the S&OP process, his introduction to demand panning had begun and he would spend the next 5 years as Stanley Black and Decker’s S&OP/Sales Forecasting Manager. Wes is now Senior Finance Manager, Pricing Market and Analytics, at Wabash National, where he employs cutting edge machine learning and predictive analytics to drive forecasts and business insight. He holds a Law Degree from Indiana University, an Accounting degree from Butler University, a Master’s in law from The University of Alabama, and a Master of Science, Data Science, from India University.

Mohamed Diaa Wahba

EzzSteel Egypt

Reliability Manager

Mohamed has over 12 years of highly diversified experience in the heavy industries. He has held a variety of roles across operations, project management, and predictive analytics at EzzSteel, the largest independent steel producer in the Middle East and North Africa. He is currently responsible for improving asset reliability using predictive technologies. His background includes many years in different manufacturing environments which has provided him with a solid platform to create new analytics-based solutions. Mohamed holds a post-graduate degree in Mechatronics and has a growing knowledge of using machine learning to solve business problems. He is CPIM, CMRP, LSSGB certified and is currently learning Python programming to develop predictive analytics models.

Veronica Vasyukova

Yandex.Market

Head of Planning

Veronika has extensive professional experience in planning and S&OP in both online and brick and mortar, having working for FMCG, manufacturing and e-Commerce companies. She worked for Unilever for 11 years in a variety of roles in demand & supply planning across Russia, Ukraine and Belarus. In 2017, she made a change and moved into eCommerce, heading the planning function for the online marketplace Beru! and obtained unique experience in building e-Commerce S&OP from scratch. Veronika continues in this role, developing the planning function and S&OP. Veronika is a member of the Institute of Business Forecasting & Planning, IBF and is ASCM certified.

Jean Noel Thibault

Electrolux Europe

Digital Transformation Director

John Solomon

PECO Pallet

Director, Transformation & Analytics

In his role as Director of Transformation & Analytics at PECO Pallet, John has effectively led both organizational and analytical transformations. He is passionate about continuous learning and sharing his knowledge in analytics, lean problem solving, and supply chain. His most recent key experiences are in technology design and implementation to increase operational efficiencies through behavior changes. John holds a degree in Materials Engineering from Iowa State University and prior to PECO worked at Caterpillar and XPO Logistics. He has held diverse leadership positions in analytics, Lean/6 Sigma, Materials R&D, warehousing, and project management.

Dr. Stanislaw Schmal

Lufthansa Industry Solutions BS GmbH

Data Analytics & Strategy Lead

Stan is data native who started his career in startup consulting, working with many data visionaries in early stage companies. In 2015, Stan joined Lufthansa Industry Solutions as senior data scientist for business analytics. He consults airlines and transportation companies on bridging the gap between data analyzing and generating value for the business. As project owner, Stan and his team launched several analytics applications to automate processes and increase customer success. In 2018, Stan joined the Lufthansa Industry Solutions BS GmbH US Branch to drive digitization and automation for North America-based firms. He hold a degree in Economics, A Master’s in Finance, A Master’s in Economics, a PhD in Business, Management and Marketing, and a PhD in Corporate Finance and Strategic Management.

Thomas Schleicher

National Consumer Panel (a joint venture of Nielsen/IRI)

Vice President, Measurement/Data Analytics

Thomas has led the Measurement/Data Science team at National Consumer Panel (NCP) for 9 years. Prior to his tenure at NCP, Thomas held a variety of positions with client-side manufacturers as well as smaller consulting companies. These included two stints at Bayer HealthCare where he focused on pharmaceutical market research and forecasting. He also worked at Ipsos-ASI and smaller consulting companies with an emphasis on marketing analytics and forecasting. He has also been a lecturer/adjunct professor, most recently having taught courses on social research methods, statistics and social behavior at Quinnipiac University. After earning his PhD in Experimental Social Psychology from the University of Wisconsin-Milwaukee, Thomas continued his life-long learning quest by earning a certificate in Predictive Analytics from the University of California-Irvine.

Charles Chase, CPF

SAS Institute

Executive Industry Consultant

Mr. Chase is an author, thought leader and trusted advisor delivering demand planning and forecasting solutions to improve consumer packaged goods companies supply chain efficiencies. Prior to that, he worked for various companies, including the Mennen Company, Johnson & Johnson, Consumer Products Inc., Reckitt Benckiser PLC, Polaroid Corporation, Coca Cola, Wyeth-Ayerst Pharmaceuticals, and Heineken USA. He has more than 20 years of experience in the consumer packaged goods industry, and is an expert in sales forecasting, market response modeling, econometrics, and supply chain management. He is the author of several books, including Next Generation Demand Management: People, Process, Analytics, and Technology and Demand-Driven Forecasting: A Structured Approach to Forecasting. In addition, he is co-author of Bricks Matter: The Role of Supply Chains in Building Market-Driven Differentiation. He is also the second recipient of the IBF Lifetime Achievement Award.

Dr. Rajesh Devasia

Course5 Intelligence

Director – Applied Artificial Intelligence

Rajesh has over 18 years of experience in analytics, management consulting and market research having worked with Nielsen, TCS, and Mahindra Group across key markets including India, USA and UAE. Rajesh is an subject matter expert in Business Intelligence and Advanced Analytics with extensive experience in end to end implementation of projects for global clients in Industrial manufacturing, consumer packaged goods, heavy equipment, telecoms, BFSI, e-Commerce, education, travel, and jewelry. He was recently recognized as top “40 Under 40 Data Scientists” in India at the Machine Learning Developers Summit 2020 for his contribution to data science. Rajesh holds an MBA degree in Marketing and a postgraduate diploma in Applied Statistics with Software from Mumbai University along with a PhD in Retail Management.

Gildas Bah

Harvard Business School Online

Data Scientist

Gildas Bah is a Data Scientist with 15 years of experience in data analysis, machine learning and artificial intelligence. He is currently working on the Data Management team at Harvard Business School Online. His current projects include student enrollment forecasting using Deep Learning, Natural Language Processing and Text Analytics to develop composite metrics for measuring student engagement. Recent projects included the development of quantitative and visual computation graphs for explaining multiple stages and concurrent A/B Testing results. Gildas has a passion for sharing his expertise with others to help advance their careers and improving data science methodologies. He holds an MBA and a Master's Degree in Actuarial Science.

Tina Burke

Intel Corporation

Analytics, Modeling & Reporting Lead

Tina is a Senior Demand Planning Analyst at Intel Corporation. Her professional experience is interwoven among operations & supply chain, as well as information technology. Her career has seen her work for a range of global multinationals including Boston Scientific, Nestlé, Citrix Sytems and Google, covering a variety of roles including master scheduler, demand planner and S&OP manager and assuming responsibility for the monthly S&OP process, statistical forecasting, production scheduling and more. A data aficionado, she taught herself SQL to pull reports and build analytics to improve decision making. Tina is an APICS Certified Supply Chain Professional, holds an undergrad degree in Finance and Operations, and a Master’s in Business Management.

John Piechule, CPF

Arkema Inc.

Senior Manager, Supply Chain

Prior Roles

Experienced in demand management, production planning/scheduling, inventory management, quality assurance and quality control
Spent significant time in the aerospace and heavy industry business sectors

Education

MBA and undergraduate degrees at Widener University in Chester, PA

Industry Involvement

Holds the APICS CSCP and CPIM and the IBF CPF certifications

Joseph Eschenbrenner, ACPF

Roche Tissue Diagnostics

Director Planning and Material Management

Joe Eschenbrenner serves as the Director Planning and Material Management for Roche Tissue Diagnostics. Prior to this, he served as the Director of Demand Planning for Puma North America where his responsibilities were focused in multiple areas, driving "Speed to Market" and "Holistic Operational Efficiency". He has extensive experience managing Demand and Supply Planning, Merchandising Operations, and Sales Allocations. He also worked as the Global Manager of Demand Planning for the Timken Company which serves diverse industries including Automotive, Heavy Truck, Off Highway, Rail, Wind Energy, Heavy Industries, Power Transmission, Industrial Distribution and Automotive Market. Joe holds an MBA and Master's Degree in Finance from Rensselaer Polytechnic Institute (RPI) as well as a B.A. in Mathematics and Statistics from the University of Connecticut. Joe is a past President of the Automotive Market Research Council and has achieved IBF's Advanced Certified Professional Forecaster (ACPF) designation.

Jonathon Karelse

NorthFind Management

CEO

Prior Roles

Recognized thought leader in demand planning and S&OP and is CEO and co-founder of the consultancy NorthFind Management

Education

Graduate of the MIT Sloan School of Management
Member of the 2019 Management Excellence cohort at Harvard Business School
Member of the Harvard Business Review’s Advisory Council

Industry Involvement

Long-term contributor to the IBF’s body of knowledge, with a specific focus on forecasting metrics, decision making, and behavioral science
Author of the Amazon #1 Best Seller for his book, Histories of the Future: Milestones in the Last 100 Years of Business Forecasting

Simon Clarke

Crimson & Co

Principal

Eric Wilson, ACPF

Institute of Business Forecasting & Planning

Director – Thought Leadership

Prior Roles

Escalade Sports: Director of Demand Planning
Berry Plastics: Director of Demand Planning
Tempura Sealy International: Director of Demand Planning & S&OP

Industry Involvement

Frequent speaker and panelist for many executive forums and professional conferences
Written numerous articles in publications including The Journal of Business Forecasting and APICS Magazine
Author of the books Cultural Cycles and Predictive Analytics for Business Forecasting & Planning

Award

IBF Excellence in Business Forecasting & Planning

Certification

IBF Advanced Certified Professional Forecaster (ACPF)

Michael Gilliland

SAS Institute

Product Marketing Manager

Michael Gilliland is author of The Business Forecasting Deal, and currently Product Marketing Manager for SAS forecasting software. He worked in consumer products forecasting for over fifteen years in the food, electronics, and apparel industries, and as a consultant. Mike holds a BA in Philosophy from Michigan State University, and Master's degrees in Philosophy and Mathematical Sciences from Johns Hopkins University. He has published in Journal of Business Forecasting, Supply Chain Management Review, Foresight: The International Journal of Applied Forecasting, Analytics, and APICS Magazine, and wrote a quarterly column on "Worst Practices" for Supply Chain Forecasting Digest.

Event Speakers

John Solomon

PECO Pallet

Director, Transformation & Analytics

Veronica Vasyukova

Yandex.Market

Head of Planning

Jean Noel Thibault

Electrolux Europe

Digital Transformation Director

Conference Schedule

Download Schedule

(PDF, ~2mb)

Pre-Conference Workshop

Apr 28, 2020
Conference Day 1

Apr 29, 2020
Conference Day 2

Apr 30, 2020

April 28, IBF Members Only

12:30 PM - 1:30 PM

Pre-Conference Workshop Registration

1:30 PM - 4:30 PM

Hands-On Data Science & Predictive Analytics - 1/2 Day Workshop

This workshop will provide practical tips to incorporate into your own organization, where you’ll learn to leverage the cutting-edge of analytics technology. We will focus on data science applications for forecasting and best practices using Python. Recent advances in forecasting, often called Predictive Analytics techniques, involve the use of Big Data, including analysis of textual data like that created by social media (Facebook etc.). In this workshop, you will fully develop and script your own analytics solutions while simultaneously learning Python and its capabilities. This ½ day masterclass will be especially helpful for demand planners and forecasters looking to implement the latest advancements and next-level techniques.

I. Introduction

II. Software Overview

Popular Data Science tools
Python 101

III. Environment

Reading and summarizing data
Merging data objects
Feature engineering
Installing and initiating packages

IV. Data Cleansing & Preparation

Feature Scaling
Univariate vs Multivariate Outlier Detection
DBSCAN clustering, anomaly extraction

V. Machine Learning Module 1 – Regression

Machine Learning Defined
Comparison to Statistical Methods
Artificial Neural Networks

VI. Model Optimization

K-Fold Cross Validation
Parameter Selection
Assessing model accuracy, stability
Combining models to improve accuracy

VII. Machine Learning Module 2 – Classification

Overview of Ensemble Modeling
Random Forest Trees

VIII. Machine Learning Module 3 – Advanced Topics

Gradient Boosted Trees
Explaining model behavior
Extended R Programming

IX. Data Visualization

Plotting Basics
Advanced Graphics

X. Topics of Exploration & Closing

5:00 PM - 7:00 PM

Early Conference Registration

Pricing

Onsite Rate

(Expires in 0 days 0 hours)

SILVER PACKAGE

$1,799

Member’s discount: -$100

GOLD PACKAGE

$1,949

4TH FREE - GOLD GROUP PACKAGE

(4 PERSONS FOR PRICE OF 3)

$5,847

GOLD CERTIFY PACKAGE

$3,149

GOLD GROUP PACKAGE

(2 PERSONS)

$3,798

SILVER GROUP PACKAGE

(2 PERSONS)

$3,498

PREDICTIVE BUSINESS ANALYTICS CONFERENCE APRIL 29-30, 2020	BREAKFAST and/ or REFRESHMENTS	LUNCH	EVENING COCKTAIL RECEPTION APRIL 29, 2020	PRE-CONFERENCE DATA SCIENCE WORKSHOP APRIL 28, 2020 (IBF Members ONLY) Member registration	IBF MEMBERSHIP (1 YEAR)	IBF CPF CERTIFICATION EXAMS	FUNDAMENTALS OF DEMAND PLANNING & FORECASTING BOOK