Data-Driven Process Improvement
Learn to implement data-driven process improvements using IoT technology, KPIs, and process mapping for better business outcomes.
Learn to implement data-driven process improvements using IoT technology, KPIs, and process mapping for better business outcomes.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data-Driven Decision Making (DDDM) Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Develop operational and performance goal alignment plans
Create effective data collection strategies
Design current and future state process maps
Identify and prioritize data gaps for analysis
Implement IoT-based performance monitoring
Skills you'll gain
This course includes:
1.22 Hours PreRecorded video
3 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course empowers learners to implement data-driven process improvements in their organizations. Through practical applications, students learn to align operations with performance goals, develop effective data collection strategies, and create process maps. The curriculum covers IoT implementation, KPI development, and data validation techniques, preparing professionals to make strategic decisions based on data analysis.
Operations and Performance Goals
Module 1 · 2 Hours to complete
Data Collection
Module 2 · 2 Hours to complete
Process Mapping
Module 3 · 2 Hours to complete
Project: Data-Driven Process Improvement
Module 4 · 1 Hours to complete
Fee Structure
Instructors
CEO and Co-Founder Helping Businesses Build Efficient Software Solutions
Akshay Sivadas is the co-founder and CEO of Quicware, where he supports startups and small-to-medium businesses in developing software products and building effective teams. With a background in mechanical engineering from the University at Buffalo, he previously worked with manufacturers to enhance operational efficiency by applying ISO standards, lean practices, and six sigma methodologies.
Lean Six Sigma Expert and Operational Excellence Director at the University at Buffalo
Peter Baumgartner is the Operational Excellence Director at the University at Buffalo's The Center for Industrial Effectiveness (TCIE), where he specializes in Lean Six Sigma methodologies. As a Certified Lean Six Sigma Master Black Belt, he has successfully led numerous process improvement projects across various industries, including manufacturing, finance, and healthcare. With nearly a decade of experience in a global company, he has delivered significant cost savings and enhanced operational performance through his expertise in data analysis and statistical methods.Baumgartner holds a Master of Science in Applied Statistics from the Rochester Institute of Technology and a Bachelor of Science in Chemical Engineering from the State University of New York at Buffalo. He teaches courses on Coursera such as "Data Analysis and Visualization" and "Data-Driven Process Improvement," aimed at equipping professionals with the skills necessary to implement effective data-driven strategies in their organizations.
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