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| <h2>Transform Your Data with Ease: Introducing Our Custom SPC Visual</h2> | ||
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| <h3>Create Statistical Process Control (SPC) Charts in Just Three Clicks!</h3> | ||
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| <p>Unlock the power of your data with our custom visual, designed to make creating SPC charts as simple as possible. With just two or three clicks, you can generate insightful charts that help you monitor and improve your processes. Used by analysts from around the globe including Australia & the UK's NHS.</p> | ||
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| <h4>Why Choose Our SPC Visual?</h4> | ||
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| <ul> | ||
| <li><strong>User-Friendly:</strong> Our visual is incredibly easy to use, requiring minimal effort to produce professional-quality SPC charts.</li> | ||
| <li><strong>Global Feedback:</strong> Trusted and praised by health analysts worldwide, our visual has been refined based on real user feedback to ensure it meets your needs.</li> | ||
| <li><strong>Standardised Design:</strong> Enjoy a consistent look with standard Making Data Count colours and icons, making your charts not only functional but also visually appealing.</li> | ||
| <li><strong>Completely Free:</strong> No hidden costs or purchases. Our SPC visual is 100% free to use, providing you with powerful tools without breaking the bank.</li> | ||
| <li><strong>No code</strong> required. Easy to install, easy to use.</li> | ||
| <li> - <strong>User-Friendly:</strong> Our visual is incredibly easy to use, requiring minimal effort to produce professional-quality SPC charts.</li> | ||
| <li> - <strong>Global Feedback:</strong> Trusted and praised by health analysts worldwide, our visual has been refined based on real user feedback to ensure it meets your needs.</li> | ||
| <li> - <strong>Standardised Design:</strong> Enjoy a consistent look with standard Making Data Count colours and icons, making your charts not only functional but also visually appealing.</li> | ||
| <li> - <strong>Completely Free:</strong> No hidden costs or purchases. Our SPC visual is 100% free to use, providing you with powerful tools without breaking the bank.</li> | ||
| <li> - <strong>No code</strong> required. Easy to install, easy to use.</li> | ||
| </ul> | ||
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| <br> | ||
| <p>Transform your data analysis experience today with our custom SPC visual and see the difference it makes in your process improvement efforts.</p> | ||
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| <h3>Capabilities</h3> | ||
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| <p>Our visual supports a wide range of chart types and features, with an emphasis on flexibility and customisability. If there's anything that it can't do for you, just let us know!</p> | ||
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| <h4>Chart Types:</h4> | ||
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| <ul> | ||
| <li>run: Run Chart</li> | ||
| <li>i: Individual Measurements (AKA XmR)</li> | ||
| <li>i_m: Individual Measurements - Median Centerline</li> | ||
| <li>i_mm: Individual Measurements - Median Centerline and Median Moving Range Limits</li> | ||
| <li>mr: Moving Range of Individual Measurements</li> | ||
| <li>p: Proportions</li> | ||
| <li>p': Proportions with Large-Sample Correction</li> | ||
| <li>u: Rates</li> | ||
| <li>u': Rates with Large-Sample Correction</li> | ||
| <li>c: Counts</li> | ||
| <li>xbar: Sample Means</li> | ||
| <li>s: Sample SDs</li> | ||
| <li>g: Number of Non-events Between Events</li> | ||
| <li>t: Time Between Events</li> | ||
| <li> - run: Run Chart</li> | ||
| <li> - i: Individual Measurements (AKA XmR)</li> | ||
| <li> - i_m: Individual Measurements - Median Centerline</li> | ||
| <li> - i_mm: Individual Measurements - Median Centerline and Median Moving Range Limits</li> | ||
| <li> - mr: Moving Range of Individual Measurements</li> | ||
| <li> - p: Proportions</li> | ||
| <li> - p': Proportions with Large-Sample Correction</li> | ||
| <li> - u: Rates</li> | ||
| <li> - u': Rates with Large-Sample Correction</li> | ||
| <li> - c: Counts</li> | ||
| <li> - xbar: Sample Means</li> | ||
| <li> - s: Sample SDs</li> | ||
| <li> - g: Number of Non-events Between Events</li> | ||
| <li> - t: Time Between Events</li> | ||
| </ul> | ||
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| <br> | ||
| <h4>Features:</h4> | ||
| <br> | ||
| <ul> | ||
| <li>Evaluate patterns across multiple processes with a summary table</li> | ||
| <li>Customise aesthetics for all aspects of the plot</li> | ||
| <li>Apply conditional formatting for process- or point-specific customisation</li> | ||
| <li>Use the MDC icons to highlight variation and assurance in your data</li> | ||
| <li>Export to PDF and PowerPoint</li> | ||
| <li>Export calculated control limits from visual</li> | ||
| <li>Label individual points on charts</li> | ||
| <li>Provide custom control limits (specification limits)</li> | ||
| <li> - Evaluate patterns across multiple processes with a summary table</li> | ||
| <li> - Customise aesthetics for all aspects of the plot</li> | ||
| <li> - Apply conditional formatting for process- or point-specific customisation</li> | ||
| <li> - Use the MDC icons to highlight variation and assurance in your data</li> | ||
| <li> - Export to PDF and PowerPoint</li> | ||
| <li> - Export calculated control limits from visual</li> | ||
| <li> - Label individual points on charts</li> | ||
| <li> - Provide custom control limits (specification limits)</li> | ||
| </ul> | ||
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| <br> | ||
| <p>We're passionate about making quality improvement accessible to all! For any requests or bug-reports, or if you're just curious about the code, head over to our GitHub repository: <a href="https://github.com/AUS-DOH-Safety-and-Quality/PowerBI-SPC">AUS-DOH-Safety-and-Quality/PowerBI-SPC</a></p> | ||
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| <h3>Getting Started</h3> | ||
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| <p>If you're just getting started on your process improvement journey or you need a bit more information about some of the options in the visual, we have a website with plenty of supporting documentation and example dashboards for reference: <a href="https://aus-doh-safety-and-quality.github.io/PowerBI-SPC">https://aus-doh-safety-and-quality.github.io/PowerBI-SPC</a></p> | ||
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| <p>For more information about the Making Data Count program and how you can apply it to your own reporting, the NHS have a range of great guides available: <a href="https://www.england.nhs.uk/publication/making-data-count/">Making Data Count</a></p> |