Sound Familiar?
Customer-facing reporting manually built for each client
Onboarding new customers involves sheets and scripts
No scalable multi-tenant data structure
Customers complaining about incorrect metrics
Revenue operations hacking together insights
Losing deals because competitors have better analytics
What's Really Happening
You're trying to build analytics for customers without first having analytics for yourself.
Embedded analytics requires a platform underneath — multi-tenant architecture, reliable pipelines, consistent metrics, and fast queries. Without that foundation, every customer dashboard becomes a custom project.
What Needs to Happen
Architecture
Design multi-tenant data models
Pipeline
Build scalable, per-customer data flows
Presentation
Implement embedded BI or custom dashboards
Performance
Optimize for sub-second query times
How do we solve these problems
We build customer-facing analytics products — from data pipelines to embedded dashboards.
We design the multi-tenant architecture that makes embedded analytics scalable.
We design and build dashboards to serve customer analytics needs.
Tools We Use
Embedded BI:
Sigma
Apache Superet
Metabase
Full Stack:
Sigma
PowerBI
Looker
Warehouse:
Snowflake
BigQuery
Databricks
Transformation:
dbt
Python
Talend
