Data Visualization & Analysis
It is important to develop ways to display the data that you have collected for your quality improvement so that you are better able to analyze this information. Data visualization and analysis help tell a story about your project efforts by showing trends and relationships. This information is important to understand the variation in a process, and to monitor the process over time. Data visualization and analysis will ultimately help with decision making and help determine next steps for your project. There are multiple tables, graphs, and charts that you can use to visualize and analyze your data including a run chart or control chart.
Key Steps
- Determine the visual display (e.g. graph, table, chart, etc.) that is most appropriate for your data set
- Display your measurements over time. Make sure to annotate specific dates for interventions so that you can pinpoint potential influences for changes
- Validate your data with key stakeholders and other data sources to ensure that your data is accurate
- Analyze your data to understand your project impacts and determine possible next steps
Resources to Get Started
![]() |
|
![]() |
|
Related QI Concepts
- Data Collection Planning – Before you visualize and analyze your data, you must first determine a plan on what data you will measure and how you will collect it on a regularly basis.
- PDSA – PDSAs are the change ideas that drive QI projects and will be one of the data points that you will need to collect over time.
- Presenting – Data is a key component of a QI presentation and helps demonstrate the level of impact your project has made. It is helpful to consider ways to display your data in a way that is easy to understand and interpret.
- Visual Management – Graphs, tables, and charts are often used for Visual Management for projects and helps team track and monitor their progress on regularly basis. Â