What is needed to maintain quality throughout the data lifecycle in Avaloq ICE?

To maintain quality throughout the data lifecycle in Avaloq ICE, the implementation of validation rules is essential. Validation rules serve as a systematic approach to ensure that data meets specific criteria and is accurate, consistent, and reliable before it is processed or used. By applying these rules, organizations can catch errors or undesirable data entries early in the data lifecycle, preventing issues that could propagate downstream.

Validation rules help to enforce data integrity and compliance with business standards, thereby supporting decision-making processes and enhancing overall data quality. This proactive approach is critical in a complex system like Avaloq ICE, where accurate data underpins many operations and functionalities.

Other options do not address the core requirements of maintaining quality. While engaging with stakeholders could enhance understanding and collaboration, it does not ensure data quality on its own. Running outdated systems can lead to performance issues and data inaccuracies, and minimizing data storage might compromise the necessary availability and access to important information needed for comprehensive analysis and reporting.