Date: November 14th, 2024
Language: German/ English
The effective management of data quality (DQ) has been a challenge for many years, as it has not been automatically integrated into planning and thinking processes. Therefore, the automation of data quality management (DQM) is crucial to establish it as an integral part of data management. It should be noted that absolute data quality does not exist and must always be considered in the context of the use case. Given the potential changes in data quality over time, continuous monitoring and evaluation of the data are crucial. This enables the systematic and timely identification and management of potential action needs. The subject of the webinar is a reality check in DQ monitoring and demonstrating the benefits of investing in data observability solutions. Additionally, an insight into the typical ecosystem of an observability solution will be provided to make use cases and benefits tangible.