Rapid response evaluation and support for decisionmaking
“Big data” offer more options for the continuous measurement and assessment of data needed for effective rapid-cycle innovation and evaluation of policies and programs. Our data scientists and content experts help clients determine how to use that data through iterative research design and development. Through this process, we can devise interventions that are shown to work.
Data-driven decision making requires access to large amounts of heterogeneous data. A set of diverse methods—ranging from traditional statistical inference to machine learning, artificial intelligence, and text mining—ensures that these data can be processed and analyzed appropriately. At AIR, we work closely with our clients to build custom reports and visualizations to effectively communicate results and inform decision making.