Course Summary
Learn how to use data to identify and improve business processes with this course. Gain practical skills in process mapping, statistical analysis, and root cause analysis.Key Learning Points
- Understand how to apply data to process improvement
- Learn process mapping techniques to visualize and analyze workflows
- Use statistical analysis to identify areas for improvement
- Learn root cause analysis to identify underlying problems
- Gain practical skills to implement process improvements
Related Topics for further study
Learning Outcomes
- Identify areas for process improvement using data analysis techniques
- Visualize and analyze workflows using process mapping
- Utilize statistical analysis to identify underlying problems
- Implement process improvements using root cause analysis
- Gain practical skills for continuous process improvement
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of statistics
- Familiarity with Excel or equivalent spreadsheet software
Course Difficulty Level
IntermediateCourse Format
- Online Self-Paced
- Video Lectures
- Hands-On Exercises
Similar Courses
- Process Mapping and Analysis for Healthcare
- Lean Six Sigma Green Belt
- Business Analytics for Decision Making
Related Education Paths
- Certified Six Sigma Green Belt
- Certified Lean Six Sigma Green Belt
- Certified Process Improvement Specialist
Notable People in This Field
- W. Edwards Deming
- Taiichi Ohno
Related Books
Description
By the end of this course, learners are empowered 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. Learners have the opportunity to implement process improvement objectives in a mock scenario and consider how the knowledge can be transferred to their own organizational contexts.
Knowledge
- 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
Outline
- Operations and Performance Goals
- Introduction to Data-Driven Process Improvement
- Alignment Failure
- Business Needs
- Dan Gerena Discusses the Data Strategy Journey
- Gap Analysis
- Plan Execution
- Welcome Message and Course Overview
- Acknowledgements
- Alignment Failure Resources (Optional)
- Business Needs Resources (Optional)
- Gap Analysis Resource (Optional)
- Plan Execution Resources (Optional)
- Operations and Performance Goals Assessment Scenario
- Operations and Performance Goals Assessment
- Data Collection
- IoT Data
- Strategy
- Question Your Data
- IoT KPIs
- Dan Gerena Discusses KPIs
- IoT Resources (Optional)
- Strategy Resources (Optional)
- Question Your Data Resources (Optional)
- IoT KPIs
- Data Collection Opportunities
- Process Mapping
- Overview
- Application
- Current State
- Prioritize Data Gaps and Create Future State Map
- Dan Gerena Discusses the Future of Business Intelligence
- Process Mapping Overview Resources (Optional)
- Application Resources (Optional)
- Current State Resources (Optional)
- Prioritize Data Gaps and Create Future State Map Resources (Optional)
- Process Mapping Assessment Scenario
- Process Mapping Assessment
- Project: Data-Driven Process Improvement
- Project: Introduction
- Project: Data-Driven Process Improvement
Summary of User Reviews
Discover how to improve processes and drive business value with data-driven decisions in this course on Coursera. Students have praised the course for its practical applications and real-world examples.Key Aspect Users Liked About This Course
Practical applications and real-world examplesPros from User Reviews
- Course provides hands-on experience in data-driven process improvement
- Instructors have extensive industry experience
- Content is engaging and well-organized
Cons from User Reviews
- Some students found the course challenging
- Course assumes some prior knowledge of statistics and data analysis
- Some students found the course pace too slow
Peter Baumgartner
4.4 Raiting
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