Masthead uses ML to give you the full picture of your data health in real time. We monitor every data table, view, and external table for freshness, row count, and schema changes. Masthead doesn’t access your actual data to detect data issues. Instead, it works with data logs and metadata to find anomalies and data errors. Masthead gives you complete confidence in the quality of data for decision making without compromising data security.
Masthead automatically builds column-level lineage for data flows from the moment of injection to the moment the data meets its consumer. Once a data issue happens, we highlight what data upstreams and downstreams have been affected. Masthead speeds up the data quality analysis by helping you root-cause data issues down to a single field in your tables.
There’s no increased cloud cost associated with Masthead because we don’t run SQL queries in your data warehouse. Unlike any other solution available on the market, Masthead only processes logs and metadata. We help you ensure data quality in a sustainable way and keep your cloud costs down.
Masthead alerts you about data issues in real time because we process data logs rather than data itself. Masthead seamlessly integrates with Slack and Jira to deliver alerts you won’t miss. We pack along the details of the data issue, such as where it occurred and what went wrong. This reduces the time for root cause analysis from hours to several minutes to help you streamline your data quality control and data assurance activities.
Masthead has in a way given us a framework to guide our decisions. Before, the team would spend hours and hundreds of messages on Slack to decide where the problem was and if there was a problem at all. We needed a way to look at everything at once, from one common point of view,” says Joseph Arriola, Senior Data Manager at Yalo. “With Masthead, everyone on the team can instantly see where the problem is coming from and how it’s affecting our work and our stakeholders.
Having Masthead Data in place reduces the root cause analysis of any schema changes and any upstream changes for our data analytics team. Masthead column-level lineage helped us better understand dependencies inside Google Big Query (GBQ) and enhance collaboration inside the data team and beyond when it comes to data activation.
There is no doubt that poor data quality can lead to bad decisions, but even worse would be the make the right decisions on bad data. And if, by misfortune, you automate this decision process with artificial intelligence, the result could be catastrophic. Masthead monitors, finds, and helps you correct data errors so you can trust your decisions.
While being data-driven is critical in today’s world, data is useless if you can't trust it. Decision making from from bad or low quality data can cause expensive mistakes. Having the right tooling and SLAs in place for monitoring data integrity is critical for any team looking to ensure trust in their data.
Data security matters. With Masthead as your data quality solution, you can rest assured the data never leaves its original environment.
Get an out-of-the-box solution that integrates with your existing infrastructure and technology stack.
Free yourself from manual data troubleshooting while staying on top of the data with real-time alerts on data errors.