Metabase

dbt semantic layer

Why a Clear Semantic Layer is Essential for Analytics

A well-defined semantic layer is the foundation of effective business intelligence (BI). By ensuring consistent data definitions and organized metrics, you empower teams to extract insights with clarity and precision. While ‘semantic layer’ was a buzzword a few years back, this blog explores why a clear semantic layer is still critical and how to implement

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Metabase's New Embedded Analytics SDK

Metabase’s New Embedded Analytics SDK

Understanding Embedded Analytics Embedded analytics is the integration of analytical capabilities such as dashboards, visualizations, and reports directly into an application’s user interface. Instead of requiring users to navigate to a separate business intelligence (BI) tool, embedded analytics brings insights directly to where users are working, leading to more seamless decision-making and improved user experience.

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Embedded Analytics with Metabase

Embedded Analytics with Metabase

What is Embedded Analytics? Staring from the top, embedded analytics is the integration of data visualization and business intelligence (BI) capabilities directly within applications, websites, or portals. Instead of requiring users to switch to a separate BI tool, embedded analytics brings insights directly into the workflow, making data-driven decision-making more seamless and efficient. Why Use

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