Summary
After reading this chapter, we know more about data literacy and how we can use it in our everyday lives. With this skill set, we can do a better job of responding to the things we read and see around us, such as the pandemic; it also helps us decide how to respond in these conditions. We used an example to talk about how to get rid of noise, mess, and feelings.
Then, we talked about how data moves through an organization and which disciplines should be looked at. We talked about how these different fields can help make data and analytics projects successful.
We ended with a story about a baseball team in the United States. You learned that they became a successful team by using data, letting the insights speak for themselves, and taking bias out of decision making.
In the next chapter, we’ll talk about the journey an organization can take. In practice, a journey doesn’t always go as planned. Most of the time, we start with plain business intelligence (or performance management), but some organizations start with data science or advanced analytics. The problem is that these kinds of organizations don’t even measure how well they’re meeting their goals.
