Summary
In this chapter, we explored the critical components and best practices for data preparation and analysis. Starting with an examination of the importance and components of data preparation, we delved into the factors influencing when and where to perform data preparation, highlighting the need for considering data quality, scalability, storage, governance, and accessibility.
The chapter then transitioned into the strategy and choice of transformations. A detailed discussion was conducted on how to develop a data transformation strategy, the considerations for selecting appropriate data transformations, and the implementation and optimization of these transformations. The main emphasis was on understanding data requirements, assessing data quality and performance, and aligning the strategy with analytics and reporting goals.
In the final section, we dealt with the key concepts for reporting and self-analysis, where we discussed how to design effective reports, ensure data...
