Data-Driven Process Improvement

This first course of the Data-Driven Decision Making (DDDM) series empowers learners to implement data-driven process improvement objectives at their organization. The course covers: the business case for IoT (Internet of Things), the strategic importance of aligning operations and performance goals, best practices for collecting data, and facilitating a process mapping activity to visualize and analyze a process’s flow of materials and information. Learners are prepared to focus efforts around business needs, evaluate what the organization should measure, discern between different types of IoT data and collect key performance indicators (KPIs) using IoT technology.

This online course is available on the Coursera platform.

Course Duration: Approximately 10 hours

Learning Outcomes

  • Develop a plan to align operational and performance goals
  • Devise a data collection strategy and validate data integrity
  • Understand how to create current and future state process maps
  • Prioritize data gaps for root cause analysis

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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