BI & RevOps
BI teams drown in dashboards and requests. The faster you try to move, the more dashboards you create, and most of them get looked at by one person or nobody. Data models are built for a single ask instead of being modular, so analysts can't reuse them for slightly different questions. Metrics aren't clearly defined, and you end up in meetings where someone asks why the number on this dashboard is different from the number on that dashboard.
The problem
You have 47 dashboards and most of them are used by one person or nobody
Someone asks why the revenue number on this dashboard differs from the one on that dashboard, and nobody can explain it
Data models are built for a single ask instead of being reusable, so every new question means building from scratch
Revenue metrics live in silos and different teams report different numbers for the same metric
Nobody trusts the dashboards, so execs maintain shadow spreadsheets
Pipeline, forecast, and actuals live in different systems and never reconcile
How we solve it
We build modular data models that analysts can reuse across dashboards and questions. Instead of building a new model for every ask, you extend existing ones. Slightly different question? Same model, different filter.
We define every metric once, document it clearly, and make sure it's computed the same way everywhere. No more "why is this number different" meetings. Revenue metrics don't live in silos, they add up, and cross-functional teams understand what moved them and how to influence them.
We design dashboards that answer the questions people actually ask, not dumping grounds for every chart. Fewer dashboards, more trust, faster decisions.
What you get
Reusable data models
Modular models that analysts can extend instead of rebuilding. A new question means a new filter, not a new model from scratch.
One metric, one definition
Every metric defined once, documented, and computed the same way everywhere. No more "why does this dashboard show a different number?"
Revenue metrics that add up
Metrics that don't live in silos. Cross-functional teams see the same numbers, understand what moved them, and know how to influence them.
Dashboards people trust
Fewer dashboards that answer real questions. No more dumping grounds of abandoned charts. Execs stop maintaining shadow spreadsheets.
RevOps visibility
Pipeline, forecast, quota attainment, and rep performance connected end-to-end. CRM, billing, and product data in one model with attribution that holds up.
Tools we use
dbt
Snowflake
Databricks
Google Cloud
AWS
Looker
Lightdash
PostgreSQL
MySQL
Python