You can also use MMM outputs to validate actual data that you are seeing. As a data analyst, a pain point often in organizations are that sometimes the data breaks. If we apply an automated MMM to compare MMMs output to actual and we see actual data having outlier data, we can investigate further. How can we best setup a process to help us be more proactive instead of reactive when cases like this arise?