What You Need to Know Headless BI and GoodData:Headless BI was born to solve an emerging problem in the data stack: metric inconsistency. This inconsistency arises because users choose to use various data tools in their day-to-day work. After all, different use cases require different capabilities from tools. But because each tool needs to have its own metrics written in its proprietary query language (DAX, LookML, VizQL, and so on) to analyze data, the same metric — e.g., Revenue — can easily be defined differently across the tools. Thus, depending on the tool used, different people, teams, and departments will yield inconsistent results because their metric definitions are not the same as others. So what does this have to do with GoodData? Since recognizing the need for headl

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