Supply Chain Analytics
Supply Chain Analytics is the application of quantitative methods, statistical analysis and predictive modeling in operations to identify patterns, trends, and insights, improving supply chain efficiency, forecasting accuracy, cost-effectiveness, and the overall operational performance.
Level 1: Emerging
At an emerging level, you are beginning to understand the elements of supply chain analytics. You can articulate basic concepts and support simple analyzes within an operational context.
Level 2: Proficient
At a proficient level you are proficient in analyzing supply chain data to identify opportunities for optimization, improving operational efficiency, and making data-driven decisions to enhance overall performance within the organization.
Level 3: Advanced
At an advanced level you are able to analyze complex supply chain data, interpret trends, and develop advanced analytics models to optimize operations, improve efficiency, and drive strategic decision-making within the organization.
