Get qualified automatically after earning CDM®
Chartered Data Analytics Managers (CDM)®
Supply chain analytics uses data analytics to manage, improve, and support supply chain
operations. Today, supply chains are of critical importance to the development and maintenance of the modern economy, provid- ing not only luxury goods to consumers but also basic necessities like fuel and food. As distribution networks grow, so does the need for data professionals capable of ensuring they run without a hitch. That's where supply chain managers and analysts come in.
You'll learn more about supply chain analytics, explore different types that are used every day, and find a list of its benefits. You'll also learn the principles underlying the digital transformation of supply chains, browse a list of common tools, and encounter some courses that can help get you started on this impactful career
today.
Topics evaluated in CDM®
- Dynamic Regression Forecasting Models
- Forecasting for Supply Chain Planning and Management
- Review of Statistical Foundations: Linear Regression Measuring Demand’s Price Elasticity
- Review of Multiple Regression and Stepwise Selection of Predictive Variables
- Forecasting Demand with Multiple Price Elasticities
- Model Overfitting and Model Cross-Validation
- Dynamic Regression Forecasting Models
American Association of Procurement and Supply Chain Management (AAPSCM)®
Dynamic Regression Forecasting Models
1)How is regression analysis used in supply chains?.
2) Benefits of using regression analysis for supply chains.
Review of Statistical Foundations: Linear Regression Measuring Demand’s Price Elasticity
1)Supply Chain Demand Forecasting and Price Optimization Models with Substitution Effect.
2) Using Regression Analysis to Predict the Demand Function of Electricity.
Forecasting Demand with Multiple Price Elasticities
1) Measurement of Price Elasticity in the supply chain.
2) Forecasting with Price Elasticity of Demand.
Forecasting for Supply Chain Planning and Management
1) Methods of forecasting – Quantitative.
2) Methods of forecasting – Qualitative.
3) What makes supply chain forecasting difficult?.
Review of Multiple Regression and Stepwise Mod 4 Selection of Predictive Variables
1) Multiple Regression Model for Forecasting Quantity of Supply.
2) Regression analysis for SCM and ERP.
Model Overfitting and Model Cross-Validation
1) Why does overfitting occur? Overfitting,
Underfitting, and Generalization.
2)Measures for a Random Variable.
( Virtual | Online) CDM® Preparation Workshop and Exam Fee :-
Time
1-3 Day Training
Fees
$1,200
Address
Dallas, Texas Charter and
Conference Center (AAPSCM)®
Instructor's
