In this chapter, we first learned what data literacy means as a concept. We investigated the methods of being data literate and discussed how to apply these methods to our work. Being able to read and utilize data is an important skill in the modern world, since there is an increasing amount of data around us all the time.
We discovered what informed decision-making is and went through the process of making informed decisions with data, analytics, and machine learning. This process will be our guiding light in the next chapter when we are starting to lean towards the practice. It will give us guidelines that we will use to form our machine-learning question and when we are defining the solution.
At the end of this chapter, we briefly discussed data strategy and maturity. Data strategy is an important aspect of every modern organization but is also a wide topic. We scratched the surface of how to define the maturity of an organization from a data point of view and what...