Understand how data analytics can improve operational efficiency by enabling data-driven diagnostics and decisions at strategic and operational levels.
In this video, we'll introduce the different types of Supply Chain Analytics: Descriptive Analytics, Diagnostic Analytics, Predictive Analytics and Prescriptive Analytics.
Chapters
00:00 Intro
00:32 Definition of a Supply Chain
01:17 Types of Supply Chain Analytics
01:51 Descriptive Analytics
02:28 Diagnostic Analytics
03:13 Predictive Analytics
03:39 Prescriptive Analytics
04:33 Who and How?
05:29 Why is it Important?
📦 Data Science for Supply Chain Blog
For more content related to Supply Chain my website: [ Ссылка ]
Examples of Descriptive Analytics
📝 Deploy Logistics Operational Dashboards using DataPane
[ Ссылка ]
📝 Automated Supply Chain Control Tower with Python
[ Ссылка ]
Examples of Diagnostic Analytics
📝 Lead Times Variability and Supply Chain Resilience
[ Ссылка ]
Examples of Predictive Analytics
📝 Machine Learning for Retail Sales Forecasting — Features Engineering
[ Ссылка ]
Examples of Prescriptive Analytics
📝 Production Fixed Horizon Planning with Python
[ Ссылка ]
📝Optimize Warehouse Value Added Services with Python
[ Ссылка ]
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