Summary

In this chapter, we started with a quick discussion on how BI tools could help finance professionals and organizations in today’s data-driven landscape. We then focused on several data integrity management capabilities of these tools, including relevant features such as data profiling, data cleansing, data validation, data lineage, and data governance. After that, we introduced some of the most popular BI tools used globally—including Microsoft Power BI, Alteryx, and Tableau.

With what we have covered in this chapter, you have learned about why BI tools are helpful for professionals as well as the capabilities and features these tools have to enhance and improve the integrity of the data. In the next chapter, we will continue our discussion on BI tools! We will build on top of what we learned here in this chapter, and dive deeper into how to use various BI tools to solve common data integrity issues for finance.