Apr 06, 2023
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Service categories
Service Lines
Artificial Intelligence
Big Data
Domain focus
Healthcare
Non-profit
Other
Programming language
Python
Frameworks
Flask
TensorFlow
Subcategories
Artificial Intelligence
Deep Learning
Machine Learning
Big Data
Text Analytics
Challenge
The WRA ran a survey, called What Women Want, of over 1 million women asking them about their top requests for maternal and reproductive healthcare. The survey focused on eight countries: Mexico, Cameroon, Nigeria, India, Pakistan, Malawi, Uganda, Kenya and Tanzania. The responses came back in text format (instead of categorical responses), in a variety of spellings and even languages, which made the survey difficult to analyse on a global scale.
The WRA ran a survey, called What Women Want, of over 1 million women asking them about their top requests for maternal and reproductive healthcare. The survey focused on eight countries: Mexico, Cameroon, Nigeria, India, Pakistan, Malawi, Uganda, Kenya and Tanzania. The responses came back in text format (instead of categorical responses), in a variety of spellings and even languages, which made the survey difficult to analyse on a global scale.
Solution
We have designed a public-facing dashboard, allowing anybody to drill down into the data and explore the individual responses, view them on a map, and generate graphs dynamically.
To our knowledge, the dashboard is a first for transparency at non-profits, allowing donors, policymakers and employees alike to analyse the results of a charity’s research in detail.
We have designed a public-facing dashboard, allowing anybody to drill down into the data and explore the individual responses, view them on a map, and generate graphs dynamically.
To our knowledge, the dashboard is a first for transparency at non-profits, allowing donors, policymakers and employees alike to analyse the results of a charity’s research in detail.
Results
Now, for the first time, members of the public can see and understand the WRA’s front-line work, wherever they are in the world. Are you interested in how many Cameroonian women above 40 are interested in blood, or what Nigerian women see as important within the broader category of Water, Sanitation, and Hygiene (“WASH”)? Do you want to see what words were frequently mentioned together (co-occurring) with “condoms”? The answers are at your fingertips. We think that the dashboard is setting a new bar for transparency in the third sector.
Now, for the first time, members of the public can see and understand the WRA’s front-line work, wherever they are in the world. Are you interested in how many Cameroonian women above 40 are interested in blood, or what Nigerian women see as important within the broader category of Water, Sanitation, and Hygiene (“WASH”)? Do you want to see what words were frequently mentioned together (co-occurring) with “condoms”? The answers are at your fingertips. We think that the dashboard is setting a new bar for transparency in the third sector.