ABSTRACT
Intersections of multiple measures of data are powerful. A way to tap into the power of intersections is through a problem-solving cycle. The problem-solving cycle facilitates powerful exploration of the intersections while helping us uncover contributing causes of our undesirable results. The problem-solving cycle is a great activity for getting all staff involved in thinking through undesirable results, or problems, before jumping to solutions. Staff members naturally use the multiple measures of data with this process, and they might not without the process. Deeper data analyses show what processes need to improve to get different results. Staff can put together a descriptive data profile, look for trends and commonalities across multiple measures of data, and perform an intersection analysis or contributing cause analysis, at any time, to go deeper into their data. At the highest levels of data use is prediction and optimization.
