Case Study: Lifesight achieves faster customer insights and scalable data processing with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Lifesight Case Study

Lifesight Building a unified consumer graph with the support of Google Cloud

Lifesight, a Singapore-based customer intelligence platform, needed a scalable and cost-effective way to process more than 4.6 billion data points a day and support large, ad hoc analytics across petabyte-scale datasets. To meet that challenge, Lifesight chose Google Cloud Platform and its suite of services, including BigQuery, Cloud Bigtable, Dataproc, Pub/Sub, and GKE, to power its data-heavy business.

With help from Google Cloud Platform partner Searce, Lifesight completed a phase-by-phase migration in just six weeks after a four-week proof of concept. The solution reduced average query processing time by 75% with BigQuery, enabled analysis of petabytes of data in minutes, and supported 150,000 writes per second on Bigtable, while Dataproc helps organize 50 TB of data each month and keeps data pipelines running smoothly.


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Lifesight

Amit Nandan

Chief Strategy Officer


Google Cloud Platform

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