From c052aaa4b6e10fe256be67a9183eca7ade37c3fb Mon Sep 17 00:00:00 2001 From: Andrew Johnson Date: Fri, 28 Feb 2025 14:02:46 +0800 Subject: [PATCH] Update description formatting for submission requirements --- AppSource Page/StorePageDescription.html | 78 +++++++++++++----------- 1 file changed, 42 insertions(+), 36 deletions(-) diff --git a/AppSource Page/StorePageDescription.html b/AppSource Page/StorePageDescription.html index 3076d64..f7c4148 100644 --- a/AppSource Page/StorePageDescription.html +++ b/AppSource Page/StorePageDescription.html @@ -1,55 +1,61 @@

Transform Your Data with Ease: Introducing Our Custom SPC Visual

+

Create Statistical Process Control (SPC) Charts in Just Three Clicks!

- +

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.

- +

Why Choose Our SPC Visual?

+
- +

Transform your data analysis experience today with our custom SPC visual and see the difference it makes in your process improvement efforts.

- +

Capabilities

- +

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!

- +

Chart Types:

+
- +

Features:

+
- +

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: AUS-DOH-Safety-and-Quality/PowerBI-SPC

- +

Getting Started

+

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: https://aus-doh-safety-and-quality.github.io/PowerBI-SPC

+

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: Making Data Count