Bigeye moves beyond simply presenting your data to actively ensuring its trustworthiness. While it won't manually verify each data point for accuracy, Bigeye acts as a data quality watchdog. Through automated data profiling, Bigeye identifies the structure and content of your data sets. It then recommends metrics to monitor for irregularities, like unexpected surges in specific values or unusual gaps in data collection. You can configure alerts to trigger when these metrics deviate from established norms, signaling a potential data quality issue.

By surfacing anomalies and inconsistencies, Bigeye empowers you to proactively verify your data's reliability. This allows you to catch errors or biases before they skew your analysis and ensures you're making decisions based on trustworthy information.

Integration with Bigeye allows you to verify data through Secoda. An Automation consists of Triggers and Actions. Triggers activate the workflow based on specific schedules, such as hourly, daily, or custom intervals. Actions encompass various operations like filtering and updating metadata. You can stack multiple actions to create customized workflows for your team. With Secoda, you can perform bulk updates to metadata in Bigeye.

Secoda, an AI data governance platform, offers a comprehensive integration with Bigeye. By leveraging Secoda's capabilities, companies can verify their data through the platform. Secoda serves as a centralized data management platform, consolidating data catalog, lineage, documentation, and monitoring. With this integration, businesses can streamline their data governance processes and ensure the accuracy and reliability of their data within the Bigeye environment.