Workflows · Data & Analytics
One fixture name. One kickoff timestamp. Every data source.
Every platform labels the same match differently. This workflow parses any naming convention and outputs a canonical identifier you can join across datasets.
The problem
You can't join datasets when every source names the same game differently.
Every data source labels fixtures differently — "Team A @ Team B", "B v A", foreign-language variants — and formats dates however they want. Without consistent identifiers you can't join datasets or run reliable cross-market and year-over-year analysis.
What this workflow handles
Consistent fixtures across every data source.
Works as a prep step in front of any BI tool or dashboard, handles foreign-language names, and leaves your performance metrics untouched.
- Parses home/away teams out of any naming convention
- Handles foreign-language team and fixture names
- Outputs a single canonical game identifier per fixture
- Normalizes kickoff times across time zones
- Leaves performance and viewership metrics untouched
- Works as a prep step in front of any BI tool or dashboard
Ready to join your datasets reliably?
Claim early access and we'll help you configure it for your fixture naming conventions.