A fast-growing consumer app needed to go from spreadsheets to a real data stack before their Series A. Built complete analytics infrastructure in 8 weeks.

The Challenge

A consumer mobile app was preparing for their Series A raise. They had strong product-market fit and impressive growth, but their data situation was a mess: metrics lived in spreadsheets, different team members had different numbers, and investors were asking questions they couldn’t answer confidently.

They needed:

A single source of truth for all key metrics
Self-service dashboards for the team
Reliable data for investor due diligence
Foundation to build on post-funding

The timeline was tight: 8 weeks until investor meetings.

The Approach

Week 1-2: Discovery and Design

Started by mapping out all existing data sources: the mobile app’s event tracking, payment processor, CRM, and marketing platforms. Interviewed each team lead to understand what questions they needed to answer.

Week 3-5: Infrastructure Build

Set up a modern data stack:

Snowflake as the data warehouse
Fivetran for automated data ingestion
dbt for transformations and data modeling
Mode for dashboards and ad-hoc analysis

Week 6-7: Dashboard Development

Created three main dashboards: Executive Overview, Growth Dashboard, and Revenue Dashboard.

Week 8: Training and Documentation

Trained the team on how to use the dashboards and documented everything.

The Outcome

Immediate impact:

Single source of truth for all metrics
Team could answer investor questions in minutes instead of hours
Data issues caught automatically before affecting decisions

For the Series A: The founder reported that data quality and accessibility was specifically called out by investors as a sign of operational maturity. They closed their round 3 weeks after initial investor meetings.