When dealing with Big Data, bigger isn't always better. I have seen many orgs only take the time to clean up once the big mess has been done and it's starting to keep them from multiple activities. You can save your time and efforts by applying data hygiene best practices early in the process. Let's take a look at what that means and what implementation looks like:
Once that is all set up, you can then just review on a quarterly basis and clean as needed!
Have you implemented any processes that have made data hygiene an ongoing or regular practice? Would love to hear it!