Every event in the warehouse, same columns every year
Registrations, sessions, attendance and revenue from all your event platforms delivered on a schedule in a shape that does not change.
Snowflake integrations
Snowflake integrations for event data your analysts can actually join.
The BI team built the Snowflake tables and asked for the event data. What arrived was a folder of exports, one per event, with different column names every year. We deliver registrations, sessions, attendance and exhibitor activity into Snowflake on a schedule, with the same person recognized across every source and every year.
Sound familiar?
The tables are ready. The exports are not.
The analytics team asked for the event data. What arrived was a folder of exports, one per event, with different column names each year. The analyst spends a week matching people before the first chart, and the numbers still do not match what the meetings team reported to the board.
- Registration is in one system, session scans in another and leads in a third. None of it meets in the warehouse.
- You have an export from every year, and every year the columns are different.
- The same member shows up three times because she used three emails.
- Finance’s revenue number and the registration report never agree.
We live in your world
We know both sides of the pipe.
On the Snowflake side, stages, pipes and warehouses, and loads that arrive in minutes rather than one row at a time. On the event side, the daily limits registration platforms put on how often they can be asked, session scans that live in an app or a badge vendor, and the rules that decide who counts as attended. We build the middle so both sides behave.
Where the standard paths stop
Some registration platforms can drop files to cloud storage that Snowflake reads, and connector tools such as Fivetran move raw objects for a few platforms. Those give you tables. They do not match the same person across sources, they do not carry session attendance from your app or badge vendor, and they know nothing about your rules for what counts. We add that layer, and the same applies to Databricks and Redshift.
We speak Snowflake
Databases, schemas and tablesStagesCOPY and SnowpipeSnowpipe StreamingVirtual warehousesRoles and grantsSQL APICredits
Event Data Pro is an independent company. Snowflake and other product names belong to their owners.
How we do it
Common Snowflake integrations
One person across sources and years
Registrants matched across emails, companies and systems so retention and renewal are real numbers.
Session attendance, not only registration
Scans from the app or badge vendor joined to the registrant, per session.
Revenue that ties to finance
Orders, payments and refunds beside the accounting system’s view, with the differences explained.
Exhibitor and sponsor activity beside attendees
Booth sales and lead scans in the same model as registrations.
What done looks like
The analyst opens Snowflake the morning after the event and the numbers match what the meetings team told the board, because they came from the same place.
How every project starts
We start with a free consultation - about two hours of discovery kicking off with a 30-minute call. We map out where your data lives, the business rules your event follows, and what your IT team will need to see. You keep that document whether you hire us or not.
If you do hire us, a first integration is typically $3,500 to $7,500, and reusing it for your next event costs 40 to 90 percent less. No subscription. No annual contract.
Money back guarantee. If you’re not satisfied with the integration, we’ll refund you.