Analytics and Improvement
Instructor: Dan Zuccarello
Are you looking to master the art of continuous improvement? Welcome to the Analytics and Improvement course, where you’ll gain the tools and insights to drive effective improvements in your laboratory. Led by industry expert Dan Zuccarello, this course will equip lab managers with the analytical skills and improvement strategies necessary to lead data-driven projects and make impactful changes that elevate lab performance.
What is this course about?
This course provides a deep dive into the principles of continual process improvement, analytical tools, and change management. You’ll explore key methodologies such as PDCA (Plan-Do-Check-Act), Six Sigma, and Total Quality Management (TQM), alongside advanced tools like Design of Experiments (DOE), regression testing, and control charts. Designed specifically for lab leaders looking to refine their improvement skills, the course also covers how to effectively implement corrective actions, develop preventive measures, and manage risk to build a resilient improvement culture.
What are the benefits of this course?
Master Continual Improvement Techniques: Understand core methodologies such as PDCA, Kaizen, and Six Sigma, and learn when to apply each to achieve incremental and breakthrough improvements.
Build Analytical Expertise: Explore powerful tools like hypothesis testing, regression analysis, and control charts to measure success and identify improvement opportunities.
Develop an Effective CAPA Strategy: Implement Corrective Actions and Preventive Actions (CAPA) to address issues, prevent recurrence, and sustain improvements.
Manage Change with Confidence: Gain practical strategies for leading change projects, overcoming resistance, and driving sustained improvements across the lab.
Risk Management and Mitigation: Learn to identify, assess, and mitigate risks using proven strategies that protect the lab and ensure project success.
What are the learning outcomes of this course?
By the end of this course, engaged learners should be able to:
List effective continual improvement tools, including PDCA, Kaizen, and Six Sigma.
Explain the key elements of change management and apply them in improvement projects.
Identify common analysis tools used in improvement projects, such as regression testing and DOE.
Describe how a Corrective Action and Preventive Measures (CAPM) process works.
Recognize the key elements of risk management and integrate them into lab operations.
Identify important improvement tracking tools, including impact assessments and change control processes.
Ready to transform your lab’s performance? Enroll today and start leveraging data and continuous improvement tools to lead successful change projects that drive your lab forward.