Data-Driven Process Improvement
- Offered byCoursera
Data-Driven Process Improvement at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data-Driven Process Improvement at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 3 in the Data-Driven Decision Making (DDDM) Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.
- Approx. 9 hours to complete
- English Subtitles: English
Data-Driven Process Improvement at Coursera Course details
- 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.
- Material includes online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company?s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the first course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.
Data-Driven Process Improvement at Coursera Curriculum
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
Data-Driven Process Improvement at Coursera Admission Process
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