5 Root Causes of Reporting Gaps After Enterprise Integration

You spend months integrating your marketing platform with your customer relationship management (CRM) and analytics. The week the platform goes live, the marketing team reports 150 new leads for the month and the CRM shows 100. Finance asks you which number to trust. Nobody changed the data; the systems just disagree.

That disagreement is a reporting gap, and it’s one of the most common and frustrating outcomes of an enterprise integration. The systems are connected, but the numbers still don’t line up, and every downstream decision inherits the confusion.

A reporting gap is not a business-intelligence (BI) problem you can fix in a dashboard. It’s an integration problem, and it almost always traces back to one of five root causes. This guide walks through all five and shows you how to diagnose and fix each one. When you get them right, every team reports from the same numbers instead of arguing about whose data is correct.

Key Topics

• An integration problem, not a dashboard problem: trace reporting gaps back to how your systems connect and define data, not to your BI tool
• Five root causes: identify data sync timing, schema mismatches, attribution conflicts, identity resolution and metric-definition drift
• One underlying fix: give every metric a single source of truth, and reconcile every system against it
• Diagnosis: compare record counts, timestamps and definitions across systems, not just the final totals