Adobe Analytics: Data Quality CookBook

In a fast-moving world where business decisions are increasingly data-driven, do you want to risk the growth of your brand on data that is unreliable, often downright false? If your answer is a resounding 'No', you’ve come to the right place!

Adobe Analytics has long been one of the main clickstream insight sources. It is used widely to inform marketing spend, A/B testing efforts, and product direction. In this e-Guide, we’ve outlined seven Adobe-based use cases illustrating the importance of data quality. We call them recipes because their goal is to help nurture sustainability in your data governance framework.

You can preview the first 10 pages below, or download the e-Guide in its entirety (36 pages, including 7 use cases offering data analytics professionals practical solutions to everyday problems).

 



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