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.

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