SAP IBP for Demand Bootcamp in San Francisco Bay Area, USA


SAP IBP for Demand Bootcamp in San Francisco Bay Area, USA

2,299.00 2,499.00

This is a 2-day in-person event to cover SAP IBP for Demand application.

GitaCloud has showcased tremendous potential for forecast accuracy uplift powered by SAP IBP. 

SAP IBP experienced consultants from GitaCloud will showcase the entire set of key capabilities in IBP for Demand application based on the latest IBP 1802 release in this 2-day bootcamp.

Dr. Ramesh Bollapragada (Director, College of Business, San Francisco State University) will be presenting the concepts behind advanced Demand Forecasting / Modeling. Dr. Ramesh Bollapragada teaches around the globe and has published extensively in Supply Chain domain.

Please note that this event is part of 3-part 5-day IBP for Demand & Inventory Bootcamp event, which is also available separately in case you are also interested in the IBP Inventory application. See details of the 3-part event below:

  1. IBP for Demand Bootcamp 2-day Event: Apr 30th - May 1st, 2018
  2. IBP for Inventory Bootcamp 2-day Event: May 2nd - May 3rd, 2018
  3. IBP Practitioner Focused 1-day Event: Customer Case Studies, Implementation Best Practices, IBP Online Test: May 4th, 2018


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    What is being offered?

    GitaCloud is offering a 2-day in-person deep-dive hands-on learning opportunity in SAP IBP for Demand application in this Bootcamp. 

    Event Title

    SAP IBP for Demand Bootcamp

    Event Type

    In-Person Bootcamp


    2 days


    April 30th - May 1st, 2018


    SAP Office at 2700 Camino Ramon, San Ramon, CA 94583, USA

    Who is this for?

    This Bootcamp is designed to help:

    • Customers evaluating SAP IBP for Demand applications (whether using SAP APO today or not)
    • Business planners responsible for Demand Forecasting/Planning and are looking for forecast accuracy improvement 
    • IT team members responsible for implementing SAP IBP for Demand application
    • SAP Supply Chain practitioners with experience in IBP for S&OP,  IBP for Inventory, IBP for Response & Supply, SCM (APO), SAP ECC or S/4, or non-SAP SCM practitioners 
    • Any others who are interested in a career in Digital Supply Chains enabled by SAP IBP

    What does this cover?

    This IBP for Demand Bootcamp covers:


    • Digital Supply Chains: Business Context
    • SAP IBP Platform Overview
    • Supply Chain Beer Game

    IBP for Demand Bootcamp: 

    • IBP for Demand Overview
    • Demand Reference Planning Area
    • ABC-XYZ Segmentation
    • Demand Forecasting Concepts
    • Statistical Forecasting in IBP for Demand
    • Statistical Forecast Optimization: Forecast Model and Planning Level Selection
    • Sales Forecasting including Large Account Forecasting
    • Demand Modeling using Multiple Linear Regression
    • Demand Planning / Shaping using Promotions Lift Elimination, Promotion Effectiveness Analysis, Promotion Modeling
    • Product Life Cycle Management, New Product Introduction
    • Demand Sensing: Forecast Bias Elimination based on Order Patterns, Distributor Warehouse Withdrawals, and Retail POS
    • Demand Analytics / Dashboards: Forecast Error Calculations, Forecast Value Added Analysis
    • IBP for Demand Roadmap
    • Forecasting as a Service using SAP IBP
    • IBP for Demand Online Test

    Why attend this Bootcamp?

    Learners will benefit from:

    • Up-to-date subject matter with 1708 / 1711 / 1802 capabilities covered extensively with instructor-led showcase demonstrations followed by hands-on learning with structured learning exercises and data
    • Robust grounding in terms of business context and planning concepts prior to solution function/feature deep dive
    • Comprehensive showcase of IBP for Demand: live demonstrations and opportunity for hands-on learning
    • Extensive Q&A at the end of each session.

    Which IBP release is this bootcamp based on?

    This bootcamp will showcase key capabilities in the latest 1802 release. See below for a partial list of recent enhancements in IBP 1802 release:

    1. New forecasting models based on automatic identification of correlations in data: ARIMA, Seasonal ARIMA,
    2. Retailer Point of Sale POS data driven Demand Sensing. 
    3. Visual and simple new lag-based snapshots for time-based Waterfall Analysis, Alerting and Demand Sensing 
    4. Improved Pick Best Mode;: Model Training Error elimination (Over-fitting phenomenon)

    Can I attend this event virtually?

    Although we recommend in-person participation, this event is also available as a virtual event to those who are not able to make it in-person. 

    Questions? Send us an email at