Data-Driven Decision Making (DDDM)

Data-Driven Decision Making (DDDM) is a comprehensive specialization emphasizing the critical role of data in organizational decision-making. Through a three-course series, learners explore the power of technology in collecting and organizing extensive data, enabling them to unearth valuable insights. The specialization delves into various topics, including analyzing process maps for driving improvement, utilizing software for data analysis, statistical process control, creating metrics dashboards, and translating data stories. Additionally, it sheds light on the connection between operations technology metrics and organizational performance, as well as leadership's role in implementing an internet of things (IoT) strategy. The courses also feature case studies showcasing return on investment achieved through data-driven decision making and the cultural shifts necessary for success.

• Develop a plan to align operational and performance goals and devise a data collection strategy
• Understand how to create current and future state process maps and prioritize data gaps for root cause analysis
• Identify stakeholders and key components imperative to an analytics project plan
• Visually identify, monitor, and remove process variation
• Describe techniques to identify root causes of variation and tools for evaluating potential solutions
• Apply the Design of Experiments (DOE) technique to test improvement options
• Evaluate which operational excellence methodology provides the maximum value for a specific organization
• Explain how to foster a culture of data literacy

Data-Driven Decision Making (DDDM) is designed to empower individuals to make better organizational decisions and improve the bottom line through a data-driven perspective. Enroll now and enhance your ability to drive positive change within your organization.