Implementing Best Practices When Using Business Intelligence Tools
In the previous chapter, we learned how to use business intelligence (BI) tools to fix data integrity issues. We also covered the various data profiling features available and how to remove empty cells, remove duplicates, manage relationships in data models, identify data outliers, and deal with large financial datasets using data validation.
In this chapter, we will discuss the best practices when using Power BI Desktop, Tableau, and Alteryx Designer for data quality and integrity. By the end of this chapter, you will have a better understanding of how to leverage best practices when using these BI tools to ensure data integrity in finance.
We’ll cover the following in this chapter:
- Handling confusing date convention formats
- Using data visualization to identify data outliers
- Managing orphaned records
By the end of this chapter, you will have a deeper understanding of what these BI...
