Problem Statement

The client, a growing technology company, was struggling with scattered data systems and limited visibility into critical business metrics. Their fragmented approach to data analysis led to inefficiencies in generating reports, delaying decision-making and hindering their ability to track performance effectively.

Approach & Solution

To tackle the inefficiencies, we introduced a robust backend data system, leveraging the power of Google Cloud Platform (GCP).

Built a centralized BigQuery data warehouse to consolidate information from multiple data sources, ensuring seamless data flow and storage.
Implemented SQL transformations to harmonize and prepare data for efficient querying, enabling faster data retrieval.
Developed 10+ custom dashboards using Looker Studio for real-time reporting, providing easy access to key metrics across departments.
Configured Looker to allow advanced analyses, supporting the client’s need for in-depth performance tracking and reporting across their business units.

Results & Outcomes

Consolidating the data sources reduced data fragmentation and processing times by 60%. Automated dashboards replaced manual reporting, saving the team around 30 hours per week. With improved data visibility and access to real-time insights, the client was able to make faster, more informed business decisions, leading to enhanced operational efficiency.