---
title: "embedded analytics | Skills We Assign For | Azendo"
description: "Embedded analytics — tenant isolation, authentication and performance, plus the Azendo roles assigned for it."
url: "https://azendo.co/skills/embedded-analytics/"
---

[Skills](https://azendo.co/skills/) Analytics and BI 

# embedded analytics.

Embedded analytics places dashboards and reports inside another application, so users see analytics in the product they already use rather than logging into a separate BI tool.

## Where embedded analytics fits on a long engagement.

Embedding is usually driven by adoption. Analytics in a separate tool with a separate login is used by a small fraction of the people who would benefit; the same charts inside the product are used by most of them.

Multi-tenant isolation is the hard requirement. A customer seeing another customer's data is a serious incident, and the isolation must be enforced at the data layer with authentication passed through correctly. This is security engineering, not report configuration.

## What an assigned team does with embedded analytics.

Performance expectations differ sharply from internal BI. An analyst tolerates a ten-second query; a customer inside a product does not, and embedded analytics that is slow reflects on the product rather than on the BI tool.

Meeting that usually means pre-aggregation and caching designed in from the start, which is why the work is scoped with [data engineering outsourcing](https://azendo.co/services/data-engineering/) alongside the application capacity.

## What we use embedded analytics for.

* Analytics people actually use Insight inside the product rather than behind a second login.
* Tenant isolation enforced at the data layer Access proven rather than assumed, because a leak between customers is severe.
* Product-grade response times Pre-aggregation and caching designed in, because customers will not wait.

## How embedded analytics capacity is assigned.

Embedded analytics is assigned across application and data capacity on one agreement, since isolation and performance sit on both sides of the boundary.

## Roles we assign embedded analytics for

* [BI Developer Data science](https://azendo.co/services/data-science/bi-developer/)

## Service lines it sits in

* [Data science](https://azendo.co/services/data-science/)

Capacity is agreed as a committed monthly capacity across a discipline, not per skill.

## Related in analytics and bi

* [Looker — skill we assign for](https://azendo.co/skills/looker/)
* [Power BI — skill we assign for](https://azendo.co/skills/power-bi/)
* [Tableau — skill we assign for](https://azendo.co/skills/tableau/)
* [semantic layers — skill we assign for](https://azendo.co/skills/semantic-layers/)
* [A/B testing — skill we assign for](https://azendo.co/skills/a-b-testing/)
* [experimentation design — skill we assign for](https://azendo.co/skills/experimentation-design/)
* [causal inference — skill we assign for](https://azendo.co/skills/causal-inference/)
* [cohort analysis — skill we assign for](https://azendo.co/skills/cohort-analysis/)

## Tell us what your roadmap needs embedded analytics for.

A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.

[All skills we assign for](https://azendo.co/skills/)