Masthead Data x Tranzzo

Masthead enabled us to elevate data trust at Tranzzo, empowering our organization to make data-informed decisions with confidence. With Masthead, our team can collaboratively maintain complete control over all data tables and pipeline health, and ensure data reliability at scale and available to every business user in time. Shortly after deploying, Masthead enabled us to reduce the rate of crucial data absence by 30%.

Yurii Gorbylov,
 CTO
30%
improvement in data availability
Industry
Financial Services
Company size
75 employees
Founded
2019
Data stack
Google BigQuery, Google Dataflow, Python, dbt, Looker

Boosting Data Team Productivity: Tranzzo’s Success Story with Masthead – A Security and Privacy-First Data Observability Solution

The Challenge

Tranzzo processes 10+ million transactions on a monthly basis, which involves recording and storing terabytes of transaction-related data. Their operations are incredibly complex, involving a wide variety of data products and storage systems along with hundreds of data pipelines. Since Tranzzo handles transactions from all around the world, its operations have to comply with all data privacy and security requirements worldwide, which is a challenge.

To handle high data loads, Tranzzo needs to detect issues with their data pipelines in real time. This allows them to keep the data infrastructure running efficiently and deliver superb services to all clients globally. To achieve this, visibility and control over data infrastructure is critical, as is collaboration in solving detected issues. Tranzzo had to adopt data observability to manage real-time data loads, provide various teams with data visibility, and ensure compliance with financial industry data management and protection requirements.

The Solution

With Masthead Data, Tranzzo started detecting data anomalies in real time. Once an anomaly or error occurs, Masthead notifies the data team in real time. This helps them to promptly communicate the issue to the appropriate team or teams via Jira or Slack. Masthead also provides a clear visualization of data lineage, fostering a shared understanding between data teams and data producers and facilitating quicker collaboration in resolving data issues. Both data team members and data producers can use Masthead to identify the root cause of an anomaly and its downstream impact on the data infrastructure. This approach has helped Tranzzo reduce investigation and resolution times for anomalies from hours to mere minutes.

Unlike most data observability tools that require data access, Masthead is tailored to Tranzzo’s regulatory compliance needs, as it is secure by design. Masthead analyzes only cloud logs and metadata to detect anomalies in the data infrastructure, which eliminates the risk of violating data protection requirements. Also, Masthead’s secure and regulatory-compliant architecture allowed Tranzzo’s data teams to onboard the solution almost immediately without any pushback from data security specialists.

The Results

Collaboration with Masthead gave Tranzzo many benefits, enabling them to take their data-driven practices to the next level. Thanks to Masthead, Tranzzo achieved better observability and visibility of their data infrastructure and embraced a much faster and better-structured approach to solving data anomalies. Rather than detecting and resolving issues in an ad-hoc manner, Tranzzo now has a powerful solution for identifying any anomalies as they occur, allowing them to address problems well before they can substantially impact the infrastructure. Masthead does not require access to the actual data within Tranzzo’s pipelines, making it an ideal match in terms of compliance with PCI DSS, which calls for the complete security of cardholders’ data.

Masthead played a crucial role in Tranzzo’s efforts to improve their data management and achieve higher levels of data trust. By using Masthead, Tranzzo was able to reduce the rate of crucial data absence by 20% to 30%, which had a significant impact on their overall data management practices. This improvement allowed Tranzzo to rely on their data infrastructure more confidently and make better-informed decisions based on available data.