DataGlue

Glossary / in plain English

Data warehouse

A data warehouse is a shared store where a business keeps data from different systems for analysis.

01 / Why it matters

What this helps you understand.

A warehouse makes records easier to query together. Your team still needs rules for matching records and defining the result it wants to count.

02 / A small example

The steps. Then the tag.

Example rule / events → tag

  1. Warehouse: order recorded

  2. Warehouse: shipment delivered

In this order, within 5 days, on the same order ID.

Resulting tag

Order delivered within the target

Illustrative rule. Sources, match keys and timing are agreed in the build.

03 / In DataGlue

How we use it.

DataGlue can use your warehouse as a source and send evidence back where the build sets that up. It adds the shared meaning, event sequence and tags your team wants to use.

04 / Keep reading

Related words.

Build it with us

Bring one result you want to find.

A dedicated team maps the sources, checks the fit and builds it with you. Scope and price are agreed with the team.

Book a Call