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Data Observability

Enhance the observability of your data with a solution designed to provide total visibility over the health of your data.

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Understanding Data Observability

Considered the third essential pillar of data quality, after discovery and remediation, data observability is an advanced practice that enables organizations to continuously monitor and analyze the integrity, availability and reliability of their data. Essential to data governance and management, it provides comprehensive visibility across the data lifecycle, detecting anomalies, duplications and compliance deviations before they disrupt business processes. This proactive approach not only guarantees the sustainability of data quality, but also reinforces confidence in strategic decisions, enabling organizations to adapt effectively to market changes.

Improve the transparency and reliability of your data, management informed by high-quality observability

In today's dynamic digital world, data observability is essential for governing and optimizing your data and decisions. Thanks to the integration of AI, Tale of Data sharpens its advanced auditing features to thoroughly explore your data. These AI-supported features enable you not only to assess the quality of your data through a specific index, but also to reveal faulty or poorly structured data, identify significant inconsistencies or anomalies, and map data by highlighting its nature and importance.

With regular audits, as well as by integrating ready-to-use, user-created or AI-generated rules, Tale of Data guarantees a virtuous loop of data quality. Tale of Data monitors the evolution of your data and proactively alerts you to any deterioration. This constant monitoring acts as a quality shield, guaranteeing the long-term preservation of your data's integrity.

Tale of Data's automated audit reports offer a granular view of anomalies, enabling precise detection of missing, malformed or duplicate data. In addition, Tale of Data's Mass Data Discovery functionality is a considerable asset in the detection of sensitive data, ensuring rigorous management of the risks associated with Shadow IT.