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Data-Driven Process Improvement

This course is part of Data-Driven Decision Making (DDDM) Specialization

Instructors: Peter Baumgartner +1 more

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What you'll learn

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

Skills you'll gain

Key Performance Indicators (KPIs)

Performance Measurement

Process Flow Diagrams

Data Integrity

Process Mapping

Data-Driven Decision-Making

Internet Of Things

Gap Analysis

Operational Performance Management

Data Strategy

Business Process Improvement

Business Analytics

Data Collection

Process Analysis

There are 4 modules in this course

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 Collection

Process Mapping

Project: Data-Driven Process Improvement

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