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: http://samirsaci.com

Examples of Descriptive Analytics
📝 Deploy Logistics Operational Dashboards using DataPane
https://www.samirsaci.com/deploy-logistics-operational-dashboards-using-datapane/
📝 Automated Supply Chain Control Tower with Python
https://towardsdatascience.com/automated-supply-chain-control-tower-with-python-17dbf93a18d0

Examples of Diagnostic Analytics
📝 Lead Times Variability and Supply Chain Resilience
https://www.samirsaci.com/lead-times-variability-and-supply-chain-resilience/

Examples of Predictive Analytics
📝 Machine Learning for Retail Sales Forecasting — Features Engineering
https://www.samirsaci.com/machine-learning-for-retail-sales-forecasting-features-engineering/

Examples of Prescriptive Analytics
📝 Production Fixed Horizon Planning with Python
https://www.samirsaci.com/production-fixed-horizon-planning-with-python/
📝Optimize Warehouse Value Added Services with Python
https://www.samirsaci.com/optimize-warehouse-value-added-services-with-python/

#supplychain #analytics #python