################################################### Objectives and Benefits ################################################### Objectives ---------------------------------------------------------- .. admonition:: Summary The main objective of Data Quality monitoring is to provide a **set of reports and dashboards** that help the enterprise gain **insight on the quality level of prioritized data** and take action. It is a **key enabler of data quality management**, since it is not possible to improve the data until there is a **clear picture of existing data quality issues**. Data Quality monitoring aims at making available an entire hierarchy of reporting, **from a high-level summary, down to the individual rows of failed data**. These different levels of reporting are aimed at **different stakeholders of varied seniority**. Providing Data Quality **monitoring guidelines and standards** is among one of the most significant objectives of the Data Quality framework. Having **common visualizations** and **alerting mechanisms** across teams and organizational units is crucial for the enterprise for constructing a **unified view of the overall Data Quality state** at central level. The systematic use of Data Quality monitoring dashboards and alerting mechanisms across organizational units and teams is an **enabler of continuous improvement** by providing feedback and insights into data quality performance. ------------------------------- .. image:: ../_static/img/logo-analogy.png :width: 50 :alt: Plane logo :align: left Airport **control towers**, in an international airport, **constantly monitors the position of each plane in the sky and on the runways**. Similarly, in data quality management, monitoring refers to the continuous monitoring of data quality across the organization to ensure that data meets established standards. Monitoring plays a crucial role in data quality. In the context of the enterprise, that manages business critical travel-related data, monitoring involves keeping a vigilant eye on **accuracy**, **integrity** and **availability** of data. For example, detecting a discrepancy in reservation data could prevent costly errors in ticketing or itinerary management, potentially having a direct impact on customer experience and satisfaction. Monitoring **anticipates problems** before they become serious. By identifying **abnormal trends** or **impending failures** in data systems, the enterprise can take immediate corrective actions to avoid or minimize disruptions. This is crucial where data accuracy directly impacts daily operations and where errors can have knock-on effects on customers and partners across the globe. It is a key enabler of data reliability that directly reflects in customer satisfaction and the robustness of the data infrastructure. ------------------------------------------------------------- Benefits ---------------------------------------------------------- Benefits of Monitoring are the following: .. raw:: html
Early detection

Monitoring allows early detection of anomalies and data quality issues. By quickly identifying issues, such as entry errors, duplicates or inconsistencies, the enterprise can act quickly to correct them before they impact business processes or decision-making. This minimizes disruption and optimizes business continuity.

Real-time performance

Monitoring provides a real-time view of the performance of the enterprise data systems, enabling continuous monitoring of data integrity and performance. This is crucial for operations that rely heavily on timely and accurate data, such as flight reservation management, dynamic pricing, and service personalization.

Risk management

Monitoring enables more accurate and informed risk management by not only identifying anomalies, but also predicting potential areas of future risk. For example, it can help predict system failures by detecting abnormal patterns or declining performance, enabling preventative intervention before major problems arise. This reduces the risk of service interruptions and maintains the high availability and reliability of the enterprise' essential services.