Please enable JavaScript.
Coggle requires JavaScript to display documents.
Applying Statistics to Business Applications through Six Sigma - Coggle…
Applying Statistics to Business Applications through Six Sigma
Introduction to Six Sigma
Emphasize the importance of balancing data analysis with business needs
Revisit fundamental concepts of Six Sigma
Importance of Including Statistics
Integrating data into presentations enhances decision-making
Statistics provide credibility to conclusions and results
Avoid Misusing Tools and Data
Avoid overloading slides with unnecessary information or animations
Ensure data analysis is accurate and unbiased, without forcing desired conclusions
Use presentation tools and statistical software appropriately
Understanding the Target Audience
Process owners and employees' information needs
Tailoring presentations based on departmental perspectives (e.g., compliance, finance, marketing)
High-level leadership's expectations and questions
Be Clear and Concise
Ensure clarity in slide design, font size, and color schemes
Focus on presenting key information effectively without overwhelming the audience
Use active language and avoid jargon
Don’t Let the Presentation Drive the Project
Emphasize the need for integrity and accuracy in data analysis and decision-making
Highlight the importance of completing the work before focusing on presentations
Tips for Creating Business-Friendly Presentations
Keep presentations clear, concise, and visually appealing
Create a story-style narrative for better understanding
Understand and address audience-specific questions and concerns
Tailor information to the audience's knowledge level
Telling a Story with Text and Images
Include graphs, charts, and images to enhance understanding
Provide concise text explanations and conclusions
Use PowerPoint or other tools to create a narrative
Common Challenges in Presenting Statistical Analysis
Communication gap between Six Sigma experts and general business staff
Risk of getting derailed by statistical questions or overwhelming data
Lack of interest in statistical details among stakeholders