The Capital Area Food Bank (CAFB) in Washington DC, works with over 400 local community groups, to feed the hungry. Like most food banks, CAFB faces challenges in predicting where help is needed. Planning for food is a complex process, especially when you have to consider nutritional and cultural-relevancy concerns.
CAFB works with APT, a company that specializes in predictive analytics, to understand what the actual supply and demand curves looked like. Consequently, the clients can receive more nutritious meal options, and achieve better health outcomes.
Big Data/Open Data platforms are starting to revolutionize service offerings in many domains of health. What about dying/end of life?
- Guardian Article: "Open data feeds the poor 20,000 tonnes of food per year in Washington DC", May 2016
- McKinsey Article: "The big-data revolution in US health care: Accelerating value and innovation", April 2013
- McKinsey Article: "Big data: The next frontier for innovation, competition, and productivity", May 2011
- Sas White Paper: "Big Data in Big Companies", May 2013