![]() ![]() We have also been giving careful thought to this particular problem for a while. This topic has also been addressed by many data folks recently: Ben has written The missing piece of the modern data stack, and Basecase came up with the Headless BI concept, Airbnb introduced Minerva. Establishing the single source of truth for metadata is very difficult because tools and teams consume the data in different methods. To consume the data via BI or data tools, companies need to model their data and define business metrics and KPIs so stakeholders can agree on the definition of the data. Companies want to collect and own their data because they want to consume it in various ways to grow their business, whether by building analytical dashboards for stakeholders or building an ML application. However, ETL is only one part of the whole process. Today, most data-led/driven companies successfully establish the data warehouse as the single source of truth for their data and collect all their data into their data warehouse through ETL jobs.
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