Data visualization is a powerful way to illustrate trends and outcomes, whether for routine program monitoring or telling success stories. But learning how to design great visualization products as part of routine monitoring, evaluation, or communications can seem daunting, particularly if your data visualization coach lives on another continent. JSI’s Amanda Makulec shares five tips for creating successful data visualizations.
Tahmid Chowdhury explains how JSI is working to build the capacity of public health professionals to more effectively communicate quantitative and qualitative design through better design.
Writing from the first regional conference on Measurement and Accountability for Health in Dhaka, Bangladesh, JSI’s Tariq Azim explains the importance of making health data accessible and understandable to non-health sector players.
JSI’s Tariq Azim reports from the first regional conference on Measurement and Accountability for Health in Dhaka, Bangladesh
JSI’s Paul Dowling, Rachel Kearl, Al Shiferaw of the USAID | DELIVER PROJECT describe the three pillar’s of JSI’s work in Ethiopia to improve data visibility to strengthen the country’s health supply chain.
Amanda Makulec calls for global health professionals to build their skills to make data visual, accessible, and meaningful to help drive insight and impact.
To prevent future outbreaks of Ebola and other diseases, high-quality health information system data must be readily available.
JSI’s August Oddleifson and Steve Meerman offer key findings from the Rhode Island Department of Health’s 2015 Statewide Health Inventory.
JSI’s Amanda Makulec and Barbara Knittel and Mercy Corps’ John Skeltong share five key takeaways for anyone embarking on the process of designing a dashboard.
Well designed data can have a huge impact on evidence-based decision making, but transforming numbers and spreadsheets into illuminating data visualizations can be daunting. JSI’s Amanda Makulec provides invaluable resources aimed at helping evaluators and managers maximize the impact of program data.