Designing, implementing, and maintaining a data layer is not for the faint of heart, especially the latter. As your analytics endeavors grow, your data layers may also grow into an unwieldly beast of a maze – track these users, store this data, change this location, deploy this design, etc. While your organization may constantly be putting plans into motion to expand, difficulties may arise with time as you add more to your already complicated data layer setup.
For example, let’s sa...