Supply Chain and Logistics
Supply Chain Data Analytics
Supply chain data analytics training equips professionals with the essential skills to transform raw data into actionable insights, optimizing every stage of the supply chain. This comprehensive training covers key areas such as demand forecasting, inventory management, logistics optimization, and supplier performance analysis. Participants will learn to leverage industry leading tools like Power BI, Excel, and specialized supply chain software to enhance decision making, reduce costs, and improve overall supply chain efficiency. By mastering descriptive, predictive, and prescriptive analytics, graduates can identify trends, anticipate disruptions, and implement data driven strategies for a more resilient and agile supply chain. This training is ideal for supply chain managers, analysts, and operations professionals seeking to advance their careers and drive business success through effective data utilization. This training will be delivered through a combination of Instructor led technical walkthroughs of analytics tools and techniques Practical labs and software demonstrations using Power BI and Excel Group workshops and problem solving activities Case studies of real world supply chain challenges Hands on exercises with datasets for analytics modeling Interactive Q&A and open discussion sessions Mini projects and simulation based analysis.
Objectives
- Understand Industry 4.0's impact on supply chain and logistics, envisioning the future of Supply Chain 4.0.
- Comprehend the 5 Vs of Big Data within supply chain and logistics, identifying data sources and their role in optimization.
- Optimize supply chain operations based on customer requirements, focusing on sales, distribution, and inventory management.
- Optimize manufacturing processes through product design, production efficiency, and Big Data analysis of logistics activities.
- Integrate Excel and Power BI with existing ERP software for supply chain analytics, connectivity with tracking systems, and data extrapolation.
Target audience
- Supply Chain Managers and Analysts
- Operations and Logistics Professionals
- Procurement Specialists
- Business Intelligence and Data Analysts
- ERP and IT Integration Leads
- Industrial Engineers
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: Industry 4.0 and Its Impact on Supply Chain
Purpose, scope, and vocabulary for Industry 4.0 and Its Impact on Supply Chain: application, analysis, and practical review linked to the module
Operating steps and decisions in Industry 4.0 and Its Impact on Supply Chain: application, analysis, and practical review linked to the module
Practical case review for Industry 4.0 and Its Impact on Supply Chain: application, analysis, and practical review linked to the module
Case example covering Industry 4.0 and Its Impact on Supply Chain in a realistic workplace scenario
Lessons learned from Industry 4.0 and Its Impact on Supply Chain
Practical case review for review practice: application, analysis, and practical review linked to the module
Module 2: Big Data in Supply Chain and Logistics Big Data 5V’s
Inputs and assumptions behind Big Data in Supply Chain and Logistics Big Data 5V’s: explanation, application, and practical review linked to the module
Tools and templates for Big Data in Supply Chain and Logistics Big Data 5V’s: explanation, application, and practical review linked to the module
Review questions on Big Data in Supply Chain and Logistics Big Data 5V’s: explanation, application, and practical review linked to the module
Volume
Velocity
Variety
Value
Veracity
Sources of Big Data within the supply chain and logistics Data driven supply chain optimization
Module 3: Supply Chain Optimization Framework oriented on customer requirements
Planning steps for Supply Chain Optimization Framework oriented on customer requirements: explanation, application, and practical review linked to the module
Common errors in Supply Chain Optimization Framework oriented on customer requirements: explanation, application, and practical review linked to the module
Evidence and records from Supply Chain Optimization Framework oriented on customer requirements: explanation, application, and practical review linked to the module
Planning approach for Supply Chain Optimization Framework oriented on customer requirements: application, analysis, and practical review linked to the module
Frequent errors and warning signs in Supply Chain Optimization Framework oriented on customer requirements: application, analysis, and practical review linked to the module
Evidence and records created from review practice: application, analysis, and practical review linked to the module
Module 4: Optimization of Manufacturing Process Optimizing product design and
Operational use of Optimization of Manufacturing Process Optimizing product design and: explanation, application, and practical review linked to the module
Roles and handoffs in Optimization of Manufacturing Process Optimizing product design and: explanation, application, and practical review linked to the module
Decision points for Optimization of Manufacturing Process Optimizing product design and: explanation, application, and practical review linked to the module
Workflow use of Optimization of Manufacturing Process Optimizing product design and: application, analysis, and practical review linked to the module
Roles, approvals, and handoffs in Optimization of Manufacturing Process Optimizing product design and: application, analysis, and practical review linked to the module
Escalation and exception handling for review practice: application, analysis, and practical review linked to the module
Module 5: Integration of Excel and Power BI with Existing
Performance measures for Integration of Excel and Power BI with Existing: explanation, application, and practical review linked to the module
Improvement actions linked to Integration of Excel and Power BI with Existing: explanation, application, and practical review linked to the module
Sustaining discipline around Integration of Excel and Power BI with Existing: explanation, application, and practical review linked to the module
Measures and reporting for Integration of Excel and Power BI with Existing: application, analysis, and practical review linked to the module
Improvement actions linked to Integration of Excel and Power BI with Existing: application, analysis, and practical review linked to the module
Sustaining discipline around review practice: application, analysis, and practical review linked to the module
Materials provided
- ○ Case studies on supply chain operations
- ○ Supply chain simulation tools
- ○ Risk management and planning templates
- ○ Interactive slides and group worksheets
- ○ 4D Certificate of Completion issued by The Fourth Dimension Training & Consultancy
- ○ Post-course support and follow-up resources
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
At The Fourth Dimension Training & Consultancy, we don't believe in one-size-fits-all solutions. Each course we offer is carefully tailored to meet the unique goals, industry challenges, and team dynamics of your organization. Our expert trainers bring decades of hands-on experience and guide participants using real-world case studies, practical tools, and interactive methods. This ensures not only theoretical understanding but also direct relevance to the day-to-day work of your employees. We collaborate closely with your team to adjust content, language, and examples so that the training resonates deeply and delivers lasting impact.
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