Problem Statement

The client, a major player in Switzerland's telecommunications industry, was transitioning to Google Cloud for their analytics and dashboards but struggled with integrating data from multiple sources. They needed a streamlined solution to automate data handling, reduce manual work, and enhance decision-making capabilities with real-time insights.

Approach & Solution

To address the client's specific needs, we designed a robust data management framework that leveraged Google Cloud’s services to automate data processing, storage, and visualization.

We connected 5 different data sources into BigQuery, automating the daily ingestion of 10 million+ records for real-time analytics.
Python scripts were developed to automate the data transformation process, while Cloud Functions and Compute Engine were utilized to efficiently handle event-driven tasks.
We integrated the Lighthouse API to generate website performance reports and displayed the insights using Looker Studio dashboards, offering comprehensive views of key metrics.
Cloud Storage was employed to manage large datasets and ensure smooth data flow, while providing the client with centralized access to their data assets.

Results & Outcomes

Automating data workflows reduced the client’s manual data processing time by 35%, while improving data accuracy by 20%, minimizing errors in reporting. The integration of the Lighthouse API enhanced the client’s website performance analysis, resulting in more informed optimization strategies. Overall, this solution reduced operational costs and streamlined decision-making processes.