Case Study: PropertyGuru achieves proactive data quality and lower operational costs with Telmai

PropertyGuru cuts data escalations 80-90% with Telmai

PropertyGuru Group, a leading property technology company in Southeast Asia, faced challenges with reactive data quality processes across its large-scale data ecosystem on Google Cloud Platform. Inconsistent upstream data and a reliance on manual, homegrown tooling led to significant operational overhead for its data engineers, who spent considerable time firefighting issues instead of focusing on strategic initiatives. To address this, they implemented Telmai's ML-powered data observability platform.

By integrating Telmai into their GCP pipelines, PropertyGuru automated data quality monitoring, enabling proactive detection of anomalies, outliers, and schema inconsistencies. The solution, particularly Telmai's Investigator feature, drastically reduced root cause analysis time. This resulted in an 80-90% reduction in downstream escalations and a 30-40% decrease in data remediation and operational costs, allowing teams to refocus on building revenue-generating data and AI products.

PropertyGuru Group