Understanding Data Alignment and Data Tuning

If you've ever compared a number in Bear IQ to your registration platform, AMS, or exhibit sales system and seen a difference — this section is for you.

What's in this section:

This section has three articles. Start with the one that matches your question:

Why Data Counts Differ Across Platforms Start here if you've spotted a discrepancy
You pulled a registration count from your AMS and it doesn't match Bear IQ. This article walks through the six most common reasons — including timing, record status filtering, deduplication, and scope — and what to check first.

How Bear IQ Data Tuning Works Read this to understand what's happening behind the scenes
A detailed look at the five-step process Bear Analytics uses to transform raw source data into the clean, contextualized numbers in your dashboards. Covers normalization, grouping, exclusion rules, and validation.

Integration Partner Data Quality Read this if you're evaluating vendors or noticing one integration behaves differently
An honest look at how the quality of integration partners' APIs affects data alignment — and what Bear Analytics does to manage it on your behalf.

Still have questions?

If you see a number that doesn't look right, your Bear Analytics team can walk through it with you and explain exactly what's driving it. No question is too small.

Contact your Bear Analytics team through your dedicated success platform, or using the chat feature in the Bear IQ app.