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Why we built Tellery?#

The last few years have seen many analytics tools in an emerging ecosystem, called modern data stack. Dashboards brought visibility into the business. Looker helped business users to do self-service analytics. Transformation tools like dbt created a solid foundation that everyone could share.

We use dozens of tools to get our work done. We too often copy-paste screenshots of charts from one tool to another. We conducted duplicated analyses that a colleague had already done. Metrics are scattered across tools and recreated with no oversight. The modern data stack makes it easy to answer questions but hard to answer them consistently.

We start by building a tool that brings data exploration, analytical narratives, and self-service BI into one place. Want an anomalies investigation? A campaign-oriented dashboard? A feature-specific analysis report? They are now all in one place.

Tellery brings words and data into one flexible surface, where you can organize visualizations with drag-and-drop ease. It also allows you abstract essential business logic and reuses it in future contexts. Metrics in dashboard and narrative analyses are defined consistently and constantly up to date. Stakeholders can see the context around numbers, making it possible to see how analysts arrived at the conclusions they did