Data-Driven Decision Making (DDDM) series

Watch the overview video to learn more about the Data-Driven Decision Making (DDDM) series

This online three-course series explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). They explore how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success.

Data-Driven Decision Making (DDDM) courses:

  1. Data-Driven Process Improvement
  2. Data Analysis and Visualization
  3. Applied Analytics and Data for Decision Making

The courses are available on the Coursera platform.

Learning Outcomes

  • Identify gaps in data collection processes needed to drive improvements
  • Compare and contrast data analysis and visualization tools for generating metrics dashboards
  • Define techniques to validate performance metrics and data integrity
  • Prepare and present multiple examples of data-driven decision making

Intended Audience

Individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line

Prerequisites

  • Some familiarity with reading reports, gathering and using data, and interpreting visualizations is helpful
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