Problem Statement

The client, an intermediary software development company, required multiple business dashboards to monitor various aspects such as project development health, financials, and team performance. They faced challenges in consolidating data from multiple sources like Heroku, Stripe, HubSpot, Toggl, and Google Sheets into a unified system for efficient decision-making.

Approach & Solution

DataRopes.ai implemented an end-to-end data pipeline that gathered, transformed, and loaded data from various platforms into a centralized BigQuery data warehouse

We processed data from over 5,000 ongoing projects and 1,000 developers, integrating it into a single source of truth for better analytics.
ETL jobs were set up using dbt and BigQuery SQL, automating data ingestion from sources such as Heroku, Stripe, HubSpot, Toggl, and Google Sheets.
Custom dashboards were built in Looker Studio to provide real-time insights for executives, project managers, and team leads, handling daily data updates across multiple performance metrics.
Integrated GitHub for streamlined version control and collaboration during the data transformation processes.

Results & Outcomes

The centralized data infrastructure reduced operational costs by 25% through automated data management and reporting. The streamlined workflows improved project tracking and financial reporting, leading to a 15% increase in team productivity. Enhanced project health monitoring provided better insights, leading to higher client satisfaction and retention, giving the company a competitive edge.