Discover how data can transform business operations, improve efficiency, and support smarter decision-making.
In this course, you'll learn how organizations use data-driven strategies and Internet of Things (IoT) technologies to identify opportunities for process improvement, measure performance, and make informed business decisions. Explore how to align operational activities with strategic goals, collect meaningful data, select Key Performance Indicators (KPIs), and use process mapping to visualize how materials and information flow through an organization. Through real-world examples, practical exercises, and a hands-on project, you'll apply data-driven process improvement techniques to a simulated business scenario and explore how these approaches can be adapted to your own organization. **What you'll learn:** - **Strategic Alignment:** Understand how to connect operational performance with organizational goals and business needs. - **Data Collection and IoT:** Explore how IoT technologies support data collection and help organizations measure performance. - **Key Performance Indicators:** Learn how to identify meaningful KPIs and use them to evaluate operational effectiveness. - **Process Mapping:** Visualize and analyze workflows to identify inefficiencies and opportunities for improvement. - **Practical Application:** Apply data-driven improvement strategies through a hands-on project and realistic business scenarios. **Who should take this course?** This course is ideal for professionals, students, and organizational leaders interested in operations management, process improvement, digital transformation, and data-driven decision-making. Some familiarity with reading reports, collecting data, and interpreting visualizations is helpful. This is the first course in the **Data-Driven Decision Making (DDDM) Specialization**, providing a foundation for further learning in data-driven business improvement.
