Supply Chain Analytics and Digitalization (SCM 403)
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SCM 403 – SUPPLY CHAIN ANALYTICS AND DIGITALIZATION
Module Objective
To equip senior professionals with advanced knowledge of digital supply-chain systems, analytics and data-driven decision-making.
Learning Outcomes
Learners should be able to:
1. Develop supply-chain analytics strategies.
2. Integrate supply-chain data.
3. Design executive dashboards.
4. Analyse procurement spend.
5. Analyse inventory performance.
6. Analyse logistics performance.
7. Apply predictive concepts.
8. Evaluate digital supply-chain technologies.
9. Develop digitalization strategies.
10. Lead supply-chain digital transformation.
Module Content
1. Digital supply chains
2. Supply-chain analytics
3. Data architecture
4. Data integration
5. Procurement analytics
6. Spend analytics
7. Inventory analytics
8. Supplier analytics
9. Logistics analytics
10. Predictive analytics
11. Forecasting
12. Supply-chain dashboards
13. Digital procurement
14. ERP systems
15. Warehouse technologies
16. Transport technologies
17. Automation
18. Artificial intelligence concepts
19. Digital supply-chain risks
20. Digital transformation strategy
IPSD Contact Information
Mr. Peter Senesie, IPSD Assistant Vice President and Dean
Email: psenesie@pathsu.education
Whats App: +232 76 752525
Dr. Michael Udam, Associate Dean, IPSD
Email: mudam@pathsu.education
Whats App: +234 803 249 6398
IPSD Website: PATHS University IPSD
Admissions: admissions@pathsu.education