Network data correlations are widely used to obtain multi-dimensional traffic information. Netflow streams, for instance, are correlated with BGP to generate enriched information about the ASes, IP-Addresses, and traffic volume. However, this is not enough to know the applications/infrastructures behind those IP-Addresses/ASes. Currently, we have different applications (Disney+, AmazonPrime) using different infrastructures (CDNs) to distribute their content. In this context, two key questions are missing to answer: What are those applications/infrastructures and how much traffic comes from them?. The DNS correlation is to annotate the traffic information with the domain name they came from, so that two new dimensions can be obtained: infrastructure and application. With those new dimensions, it is possible to know, for example, the amount of traffic which the Disney+ application is providing over different infrastructures such as akamai.net, fastly.net, etc. The DNS correlation, however, is not an easy task and there are a set of research/technical challenges. This presentation covers the main aspects of how Benocs is dealing with this topic: from the motivation (the good), going through the challenges (the bad), until the PoCs/implementations (the solution) to finally generate a new product that extends our current analytics/visualizations tools.