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KapitalBiz Consulting Course

Supply Chain Analytics

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This 3 day course will equip finance/supply chain managers and analysts in a variety of industries with the skills to make data-driven decisions. Delegates will gain the ability to extract and interpret key business insights for competitive advantage. Furthermore, it will help individuals understand and forecast how customers purchase products and services and how they respond to supply chain management initiatives.

This course is designed specifically for individuals working in supply chain/finance, aspiring to work in supply chain analytics, or those in leadership positions looking to boost the efficiency and effectiveness of their supply chain departments. It will also benefit middle and senior managers seeking to upgrade their knowledge and move their careers in a new direction.

The course will enable delegates make data-driven decisions. All principles and concepts are demonstrated with practical examples in Excel, which will form a portfolio of examples to which delegates can refer back to.

Local Fee R 12,999

International Fee $ 900

What it’s all about

Why you should attend

Specific Outcomes:
• Practical Dashboard Applications
• Visualisation of Data into a selection of Charts
• Combo Charts; Progress Charts; Sunburst Chart
• Gauge Chart (including Spin Buttons)
• Advanced Conditional Formatting

Specific Outcomes:
• Power Query and Power Pivot
• Table Tools and Pivot Tables
• Timelines and Slicers
• Advanced Filters
• Solver, Goal Seek
• Data validation and protection

Specific Outcomes:
• Statistical analysis and sample tools
• Logical functions (including nested IF statements)
• Maths functions (including SUMIF and SUBTOTAL)
• Date and time functions
• Useful tools and shortcuts

Ideal Participants for This Program

Who should attend

This 3-day training course is specifically designed for:

  • Supply Chain Managers
  • Finance Managers
  • Logistics Managers
  • Procurement Managers
  • Business Intelligence Managers
  • Managers using data insights to make business decisions
  • Executives handling large datasets
  • Any general users of Excel for financial applications

Book Your Spot

Supply Chain Analytics

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