Our data doesn't match across systems
If "Our data doesn't match across systems", it usually means your operating system for growth is missing a hard constraint or feedback loop. Define one source of truth, standardize definitions, and instrument the funnel so decisions are driven by comparable numbers.
Our data doesn't match across systems
Problem
Your dashboards don’t agree. Finance sees one number, marketing reports another, and product analytics tells a third story. Every review turns into reconciliation, not decision-making. Teams waste hours stitching exports together and still walk away uncertain. The cost isn’t just time, it’s trust. When leaders don’t believe the numbers, growth work slows, accountability weakens, and scaling plans become debates.
Insight
Mismatched data is rarely just a plumbing issue, it’s an alignment issue. Most companies add tools faster than they define measurement. Each new CRM, analytics platform, billing system, and attribution layer ships with its own definitions, filters, and edge cases. Metrics drift because definitions drift. An “active user” in Mixpanel isn’t the same as an “active user” in the warehouse, and small tracking differences compound. Without a shared measurement model and a single source of logic, pipelines become translation layers rather than truth layers.
How Velocity Approaches It
We don’t start by fixing dashboards. We start by agreeing on what the business needs to measure and why. Velocity aligns event definitions, attribution rules, and reporting structures across product, marketing, and finance so every metric means the same thing everywhere. Then we implement a source-of-truth layer, validate it with tight QA loops, and rebuild the reporting surface on top of stable logic. Once the system is consistent, decisions get faster and performance conversations move from “which number is right” to “what do we do next.” If you’re done guessing, we’ll help you make all your systems tell the same story.
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