The client is a prominent digital media company that focuses on data journalism, ranking, analysis, and consumer advice across domains such as education, health, money, travel, real estate, and automotive.
Built on strong SEO and editorial content, the client has a considerable presence in the digital landscape where it serves B2B and B2C clients alike.
With its expanding digital footprint, the client started facing several challenges in managing and visualizing their growing volumes of data.
The client’s dashboards were frequently running blank due to data API quota limits, disrupting their decision-making ability.
With massive data sets coming from GA4, due to data processing, the data sets were compromised in terms of accuracy and insights.
Additionally, the client’s team was spending a lot of time and efforts to manually manage Supermetrics data queries, making the process error-prone and tedious.
They needed a solution to minimize the efforts and maximize data accuracy, quality, and the capability to process 10 million events per day.
We addressed the client's challenges by creating a robust solution for the creation of unnest queries on top of GA4's nested event tables.
We built staging tables and scheduled the data flow using optimized SQL queries for efficient data processing.
We supported each dashboard with custom queries tailored with correct filters to avoid performance issues.
To address the client's requirement regarding accuracy and efficiency, we reduced the tool execution time significantly.
Our team performed rigorous QA testing across all time ranges, validating data directly from the source to ensure complete accuracy and integrity.
Finally, we provided clear cost estimates for BigQuery compute and storage to assist the client in managing resources effectively.
Our solutions ensured complete data availability in the dashboard by intelligently navigating through API quota limits during high-access scenarios.
We leveraged BigQuery’s caching capabilities, such as faster and efficient retrieval of data, to boost the dashboard performance.
We successfully maintained an accurate timeline data flow by eliminating functionality issues and date range control errors.
Now, the client’s team was not dependent on tedious manual checks and aggregation of Supermetrics data in Google Sheets as the data had become streamlined, fully automated, and error-free.
With a seamlessly scalable app, the client could now process 10 million events per day.
