Our favorite topic is data quality, but no amount of quality data can ever be enough for some cringeworthy analytics requests!
The difficulties of tagging validation for web properties have gotten a lot of ink, but the challenges pale in comparison to validating tracking within native mobile applications.
Discussing Data Layers with Jim Gordon
Wednesday, Nov 6 2019, 1 PM EST | 11 AM MST | 10 AM PST
We held an informative, hands-on session highlighting the best practices in validating data collected across key user journeys in your Native Apps.
QA2L can be easily configured to help you validate the elements of any JSON-formatted custom data layer object, supporting both Event Driven Data Layers as well as W3C Data Layers.
Atlassian Confluence is used by many organizations, providing team members shared collaboration workspaces for the documentation of various projects. A wealth of features make this platform a natural destination for the ongoing storage of tag audits...
Does your analytics implementation need a single place that provides a clear view of business requirements down to data points, individual tags, and ideally, continuous data quality assurance? Get the free Data Dictionary template.