The Challenge

Yalo, a rapidly growing company operating across 3 continents, faces the formidable task of managing diverse data inputs from various units, regions, and user environments. Data arrives in a multitude of formats and at varying speeds, complicating efforts to establish standard behavior and predict patterns effectively.

It was a constant battle for Yalo’s data engineering team to consolidate data into Google BigQuery and Cloud Storage for business use. Therefore remained a crucial need to enhance understanding of data origins and properties throughout the organization. The absence of shared knowledge often led to inaccuracies in data outputs, creating a significant disconnect that hindered decision-makers and users from relying on the data with confidence.

In a nutshell, Yalo required assistance bridging the gap between 100+ data sources, ensuring accuracy, consistency, and reliability in their data-driven decision-making processes. The task was to know about any failures with data or pipelines in real-time to ensure that both Yalo customers and internal data consumers are using Looker dashboards based on accurate data.  

Solution

Masthead Data Platform observes all tables inside Google BigQuery, consuming only cloud-native logs. This was an essential factor for Yalo as it aligns with the company’s high security and privacy standards. The partnership doesn’t expose any of Yalo’s data to catch anomalies or errors. Masthead’s ability to monitor data platform comprehensively is another major benefit. The Mastheads’s non-compromise approach to security allows it to catch anomalies in all tables in Google BigQuery automatically at scale. That means that without running a single SQL query, Masthead was able to surface Yalo data team anomalies in all tables including the most sensitive data as finance-related. Yalo has found a trustworthy partner to provide a complete view of its data platform and data without gaps or inconsistencies, still maintaining data privacy and security. 

Results

Yalo saw positive changes within two months after onboarding with Masthead. They were able to tackle data integrity issues and fix the root causes of various problems. Masthead Data has caught errors in data pipelines and anomalies in tables, helping the Yalo data team to ensure the trustworthiness of data for business users. This enables Yalo’s data team to react quickly to findings and collaborate and solve them within a couple of hours instead of spending days as it was before. Thanks to partnering with Masthead, Yalo has gained complete visibility of its data flows and data assets health. Through this new perspective, they can streamline workflows and solve issues faster.