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    Supply Chain Management & Analytics: Fundamentals & Careers

    Posted By: ELK1nG
    Supply Chain Management & Analytics: Fundamentals & Careers

    Supply Chain Management & Analytics: Fundamentals & Careers
    Published 9/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 545.73 MB | Duration: 1h 54m

    A Road Map to Supply Chain Analytics, Career Opportunities & Preparation, Find Dream Jobs by Region, Industry & Company

    What you'll learn

    See the pain points in various domains of supply chain management and how analytics may relieve them.

    Understand the financial and economic impact of Supply Chain Analytics.

    Learn supply chain analytics job opportunities, requirement and preparation.

    Use data analytics to find the dream job(s) by region, industry and company.

    Learn to use a powerful, easy-to-use and free database with built-in visualization and analytics tools for job and business intelligence.

    Requirements

    No prior experience required.

    No paid software required.

    Access to Internet and a browser.

    Description

    Welcome to Supply Chain Analytics - an exciting area in high demand! In this introductory course, I will take you on a journey to this fascinating area where you will learn real life examples on how analytics can be applied to various domains of a supply chain, from selling, logistics, production to sourcing, to generate a significant financial and economic impact. You will also learn job market opportunities and requirement, and master a data analysis tool to find your preferred or "dream" job(s) by region, industry and company. The job market is craving for talents who know how to apply data analytics to supply chain management. The complex flows of materials and money in a supply chain generate a huge amount of data every day. The analysis and effective use of this data can significantly improve the efficiency of the supply chain, and thus provide the companies a long-term competitive advantage, as witnessed by many examples, such as Wal-Mart vs K-Mart, Dell vs Compaq, and Amazon vs Wal-Mart. Upon completing this course, you willSee the pain points of a supply chain and how analytics may relieve them.Understand why analytics is critical to supply chain management and its financial / economic impact.Learn supply chain analytics job opportunities and requirement. Master a data analysis tool to make data-driven career decisions.This course is designed for beginners with no prior experience. I hope you enjoy the course!

    Overview

    Section 1: Welcome!

    Lecture 1 Introduction

    Lecture 2 My Journey

    Lecture 3 Talent Crisis

    Section 2: Impact of Supply Chain Analytics

    Lecture 4 K-Mart vs. Wal-Mart

    Lecture 5 Dell vs. Compaq

    Lecture 6 Wal-Mart vs. Amazon

    Lecture 7 Analytics Is Critical to Supply Chain Management

    Section 3: Supply Chain Pain Points and How Analytics May Relieve Them

    Lecture 8 Sell Analytics

    Lecture 9 Logistics Analytics

    Lecture 10 Production Analytics

    Lecture 11 Procurement / Source Analytics

    Section 4: Job Opportunities and GCPS (Global Competition Positioning System) Tutorial

    Lecture 12 Supply Chain Analytics Job Opportunities & Preparation

    Lecture 13 Job Analysis Overview

    Lecture 14 GCPS Tutorial on Creating New Projects

    Lecture 15 GCPS Tutorial on Business GIS

    Lecture 16 GCPS Tutorial on Industry Analysis and Enterprise Diagnosis

    Lecture 17 GCPS Tutorial on Navigator and Supply Chain Mapping

    Lecture 18 GCPS Tutorial on Interactive Presentation

    Section 5: Job Intelligence - Job Opportunity Analysis

    Lecture 19 Job Analysis by Region - Where to Locate?

    Lecture 20 Job Analysis by Industry - Which Industry to Enter?

    Lecture 21 Job Analysis by Company - Which Company to Work for?

    Beginners exploring a career in Supply Chain Management and Data Analytics.,Supply chain professionals hoping to upskill data analytics.,Job seekers and career builders who like to make data-driven job decisions.