Data Reporting and Visualization
Education Analytics (EA) follows a stakeholder co-build process centered around end users. This process is used for analytic approaches, such as growth models and calculating graduation rates, as well as reporting systems, such as data dashboards.
Our analytics aren’t just numbers on their own. Our easy-to-understand custom reporting brings the results all into focus. We provide presentation-ready material, data, and analyses so you can be confident and ready to act on results.
Our reporting services include, but are not limited to:
- Static reports for individual users
- Interactive online reporting systems
- Consultation and review of your existing reports
- Companion documentation for educator reports
- In-person presentations to explain methodology, results, and use
What Makes EA Unique?
EA’s process differs from typical processes in two ways:
- We focus on both analytics and reporting (as opposed to one or the other).
- We co-build reporting approaches to meet your needs (rather than “one size fits all”).
EA’s typical co-build process turns the views your stakeholders want to see into a production reporting platform.
EA’s process is designed to answer users’ central questions, allow users to take a deeper dive into the information, provide visual and textual cues to guide interpretation, and provide explicit guidance on next steps.
EA uses prototyping tools, such as Shiny apps in R, that are optimized for iterative design and usability testing. Through this process, EA allows users to engage with current iterations of analyses, compare multiple views of the data, and provide real-time feedback, which allows EA to incorporate user testing results into the next design iteration.
The images below provide example mock-ups using the Shiny app prototyping tool:
Histograms using various filtering capabilities.
Table of data comparing select schools with similar schools from within a district and from outside a district.
Line graph showing trends of chronic absence, depicting summary of specific time spans when hovering over specific data points.