2. Use data. You don't have to be a data scientist. You can work with programmers and data experts, who can help you put together the queries. The main skills you need is the ability to think up the queries by thinking about cause, effect, and relationships between measures, and testing your hypothesis.
3. Set both clear (in pen) and "in pencil" goals. For example, if you're in health care, set the clear goal of identifying a way to kill a certain cancer cell. But, then you want to set an "in pencil" sub-goal, such as can substance X affect the cancer cell. Because, then you want to test this hypothesis, and either pursue it further or quickly discard it (fail fast). "in pencil" means don't be wedded to it, and be willing to pivot based on the evidence.
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