We want to run our business on real-time data, but our weekly Scorecard is constantly delayed or inaccurate because our sales and operations teams enter dirty data into our CRM and ERP. How do we fix our data integrity issues so we can actually trust our weekly numbers?

Question

Tyler Smith · Accepted Answer

A Scorecard is only as good as the data that feeds it. If your team does not trust the numbers, they will dismiss red metrics as system errors rather than operational issues. To fix dirty data, you must stop treating data entry as an administrative chore and start treating it as a core job requirement. First, look at your Accountability Chart and ensure there is clear ownership for your data systems. If nobody owns CRM or ERP data hygiene, the systems will fail. Assign a specific seat to own database accuracy. Second, put data compliance directly on the Scorecard. Add a weekly metric that tracks the percentage of complete and clean records entered by the team. For example, you can track the number of open opportunities in the CRM that have missing fields or outdated close dates. If this compliance metric is red, it gets dropped to the Issues List of the Level 10 Meeting. Third, simplify your tools. If your team is entering bad data because your systems are overly complex, use AI-powered integrations to automate the data entry process. The ultimate rule of running on EOS® is that if a metric is not in the system, it does not exist. By holding the team accountable to data hygiene on the Scorecard, you build a culture of accuracy.