Doubling decision speed for a charity 

MAF is an award-winning charity and digital content provider, bringing together health experts with content makers to create accessible digital health content, which empowers health workers and communities with vital knowledge and skills.  

Their extensive film archive (700+ health education films in 49 languages) had over 10 million views per year. They wanted to become data-led with their decision-making to maximize the impact of any future content and increase the likelihood of external investment. 

Following a discovery phase, Kubrick deployed a team of 19 Data Engineers in training to work on a two-week hackathon. They created a social media dashboard to visualize key metrics, perform trend analysis, and measure the impact at a film level. 

Automated data feeds from MAF’s social media retrieved the latest activity and fed into Power BI dashboards to show data in an informative manner. 

A blend of data engineers, cloud engineers, and data management consultants volunteered to improve and put the dashboard in production. 

The team also advised on how best to implement Power BI into their systems so they could maximize utilization and minimize costs. 

MAF doubled their capacity to make timely strategic decisions based on real-time data, given their decision-making was previously informed by manual data collection. 

The dashboard also enabled the charity to make better decisions on content production, prioritizing high-engagement topics and formats. 

The project increased the charity’s capacity to implement its monitoring and evaluation framework and measure longer-term outcomes: gather detailed, quantitative data around views and watch times and monitor qualitative reactions and feedback for individual films and languages. 

This partnership enabled MAF to respond to opportunities in external funding and corporate partnerships around digital and technology, a vital requirement for any charity.