Data Analytics for Smart Supply Chain Management
About This Course
As more companies switch to Industry 4.0 technologies and digitize their supply chains, they have access to tremendous amount of data on their supply chain operations. Companies are now looking to mine this data and automate some of the planning processes that drive their supply chains. This course is thus designed to equip learners with tools that can help them drive more value out of their supply chain data. Learners will be able to analyse large datasets and extract meaningful insights for better decision-making in supply chain management, perform various data analytics and apply them in supply chain scenarios. This course also aims to develop learners’ competencies in designing data-driven solutions for supply chain challenges and to foster critical thinking and problem-solving skills, enabling learners to address complex supply chain issues using data analytics.
What You'll Learn
1. Describe the role of big data for better supply chain decision making.
2. Design supply chain dashboard for informed decision-making.
3. Design data-based forecasting models.
4. Develop models to segment customers.
5. Detect anomalous behaviour in the supply chain.
6. Predict system failure for proactive management.
Entry Requirements
Working adults from the industry, professionals seeking mid-career change or fresh graduates with relevant background. Individuals without relevant background may find the contents of the programme challenging.