Telmai

Telmai has been highly regarded by users for its ability to proactively detect and investigate anomalies in real-time, enabling them to mitigate risks and respond to potential threats more quickly and effectively. Users have found that Telmai simplifies the process of collecting and viewing data with its intuitive dashboard, allowing them to have a comprehensive view of all their data in one place. This has been particularly valuable for users in detecting exact data anomalies and inconsistencies, which they can promptly share with stakeholders and partners for action. By eliminating the need for writing complex rules and maintaining them over time, Telmai has made it significantly easier for users to identify issues in large volumes of data.

Data Quality Project Managers have particularly benefited from Telmai's ability to provide an overview of all data at a glance, along with segments and the option to apply different rules for quality validation. This has streamlined their work by simplifying the process of reviewing data for quality before publishing it to customers, saving time and effort. Additionally, users have appreciated the ML-based engine components that come pre-built with Telmai, as they expedite the setup process for detection and improve precision.

Telmai has proven instrumental in addressing critical business problems faced by users. It ensures the successful completion of data runs through pipelines while also detecting any drifts or inconsistencies in transformed data. By automatically alerting users to unexpected drifts in real-time and providing insights into complex data sets, Telmai enables faster investigation and prevents users from being blindsided by data issues. Furthermore, Telmai supports applying rules to large amounts of data, allowing users to effectively address rule breaks before they become significant problems.

Overall, Telmai offers a powerful solution for handling structured and semi-structured data, enabling users to focus on core business objectives without compromising data quality or accuracy. The platform's ability to bridge the gap between data and insights has driven better decisions while reducing the time and resources required for data observability. Users evaluating Telmai for various customer data sets with varying data quality issues have found great promise in its ability to solve their challenges and keep their data clean.