Course

Data-Driven Process Improvement

The State University of New York

Explore the world of data-driven process improvement in this comprehensive course. Learn to align operational and performance goals, devise data collection strategies, and visualize process flows. With a focus on IoT and KPIs, you'll prepare to implement process improvement objectives in a mock scenario and apply your knowledge to real-world contexts.

  • Empower yourself to implement data-driven process improvement
  • 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

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Data-Driven Process Improvement
Course Modules

This course covers a range of topics including aligning operational and performance goals, data collection strategies, IoT data, process mapping, and a project on data-driven process improvement.

Operations and Performance Goals

Module 1 introduces the importance of aligning operational and performance goals. You will learn about the business case for IoT, best practices for collecting data, and process mapping to visualize and analyze process flows.

Data Collection

Module 2 delves into data collection strategies, focusing on IoT data, KPIs, and the validation of data integrity. You'll explore opportunities for data collection and analysis to drive process improvement.

Process Mapping

Module 3 explores process mapping, covering the creation of current and future state process maps and prioritizing data gaps for root cause analysis. Gain insights into visualizing and analyzing process flows.

Project: Data-Driven Process Improvement

Module 4 involves a project on data-driven process improvement, where you'll have the opportunity to apply the knowledge gained throughout the course to a practical scenario.

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