Problem Statement

The client aimed to establish a comprehensive data warehouse to consolidate data across company websites and beauty SPAs. Their primary goal was to create 360-degree view dashboards to efficiently monitor and analyze key business performance indicators. The challenge was integrating data from multiple sources into a unified system, with the project spanning a 9-month contractual period.

Approach & Solution

DataRopes.ai developed and implemented an end-to-end ETL pipeline and centralized data warehouse using a suite of Google Cloud tools.

We built a centralized data warehouse using BigQuery to integrate data from all company websites and beauty SPAs, consolidating over 10 million records for enhanced reporting.
Airflow was employed to manage data workflows, automating the transfer of thousands of data points daily.
We used Dataproc for large-scale data processing, handling complex transformations and enabling efficient data integration.
Looker Studio was leveraged to create interactive 360-degree view dashboards for real-time business performance monitoring.

Results & Outcomes

The centralized data warehouse enabled the client to reduce manual data handling by 30%, improving operational efficiency. Automated workflows cut reporting times, and the real-time dashboards provided better insights, supporting faster, data-driven decision-making. These improvements resulted in cost savings and increased operational agility, leading to a significant boost in ROI.