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Use Cases/Embedded Analytics

In-App Analytics for Marketplaces

Seller- and buyer-facing dashboards embedded directly in your marketplace — each party sees only their data. D23 builds it on Apache Superset, deploys it in your cloud, and hands it to your team production-ready — no data engineering headcount required.

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What D23 delivers

Production-ready Superset dashboards on day one
AI-modelled datasets with correct grain and metric definitions
Row-level security so each user sees only their data
SSO integration (Okta, Google, Entra ID, or your IdP)
Zero-downtime Superset upgrades managed by D23
Embedded option: white-label dashboards inside your product
Text-to-SQL for ad-hoc exploration — no SQL skills required
Async query workers and Redis caching for fast load times

How D23 delivers in-app analytics for marketplaces

  1. 1

    Connect your data

    D23 connects to your warehouse or database and models the tables needed for in-app analytics for marketplaces.

  2. 2

    D23 AI builds the dataset

    Our AI generates a semantically correct Superset dataset — metrics, dimensions, filters, and grain — ready to query.

  3. 3

    Dashboards, handed to you

    We build the in-app analytics for marketplaces dashboards and deliver them to your Superset instance, production-ready.

  4. 4

    Your team takes over

    You own the dashboards — edit, clone, and extend them in Superset. D23 handles upgrades and infrastructure forever.

50+

databases D23 connects to Apache Superset — Snowflake, BigQuery, Redshift, Postgres, ClickHouse, Databricks, and more

More embedded analytics use cases

SaaS Embedded AnalyticsClient-Facing Reporting PortalMulti-Tenant BI
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