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Embarak, O. (2018). Data analysis and visualization using Python: Analyze data to create visualizations for BI systems. Apress.
Read Chapter 2 – The Importance of Data Visualization in Business Intelligence.
This chapter describes the need for data to be collected and analyzed to facilitate critical business decisions. Data visualization is explained to be necessary for extracting crucial information and deriving meaning from the data.
Kampakis, S. (2019). The decision maker's handbook to data science: A Guide for non-technical executives, managers, and founders. Apress.
Read Chapter 8 – Problem Solving.
This chapter describes the problem-solving process from the decision maker's point of view. This is useful when working with the domain expert, and understanding their perspective is key to how data scientists solve problems and present insights.
Read Chapter 11 – Building a Data Science Culture.
This chapter explains the importance of building a data science culture in the organization where communication of ideas and insights is vital to organizational awareness.