Case Studies
See how we help startups and SMBs turn messy data into a competitive advantage.
Scaling Data Analytics for a Growing EdTech Platform
The Problem
Fragmented marketing and sales data across 5+ platforms. Manual reporting took hours and lacked funnel visibility.
The Solution
Centralized BigQuery warehouse with automated pipelines. Built executive Looker Studio dashboards for real-time insights.
Key Outcomes
Tech Stack
Centralizing Operations & Payroll for a Distributed Workforce
The Problem
Disconnected operational data across Google Forms and spreadsheets led to manual payroll calculations and lack of performance visibility.
The Solution
Built a centralized Excel-based workflow engine automating payroll calculations and creating performance rating dashboards.
Key Outcomes
Tech Stack
Scaling Data for a Series B EdTech Platform
The Problem
Student engagement data was siloed across 5 different tools (LMS, CRM, Payment, App). Reporting took 20+ hours/week of manual Excel work.
The Solution
We built a centralized data warehouse in BigQuery with automated Airbyte pipelines. Designed a dbt transformation layer to model 'Student 360' and 'Class Performance' tables.
Key Outcomes
Tech Stack
AI-Driven Inventory for a Shopify Brand
The Problem
Stockouts were killing revenue during peak seasons. The team relied on gut feeling and basic spreadsheets to plan inventory.
The Solution
Implemented a Snowflake data lake with a custom Python forecasting model. Deployed a Streamlit app for the Ops team to view demand predictions.
Key Outcomes
Tech Stack
Unified Customer Health for SaaS Ops
The Problem
Customer Success and Sales had different definitions of 'churn risk'. No visibility into product usage vs. support tickets.
The Solution
Unified Postgres application data with Zendesk and Salesforce data. Created a 'Customer Health Score' algorithm running daily via Reverse ETL.