Question: I'm looking for a tool that can help me improve data quality and trustworthiness for better decision-making.

If you want to improve data quality and trustworthiness so you can make better decisions, Collibra is a good option. The data intelligence platform includes a range of data management tools, such as data quality monitoring, pipeline reliability tracking and integrated data management. It's designed to automate data processes, minimize manual labor and offer a unified view of data assets across an organization, so it's a good option for large, complex and adaptable organizations.

Another option is Metaplane, a data observability platform that lets teams quickly identify and fix data issues with ML-based monitoring and anomaly detection. Features like data CI/CD, column-level lineage and real-time schema change alerts help ensure data quality and trust by minimizing data triage time and improving collaboration.

CastorDoc is another option. This next-gen data catalog platform combines data governance and self-service analytics so organizations can make data-driven decisions. With its interface that lets people ask questions in natural language and then translates them into SQL, CastorDoc can help validate data quality and simplify complex queries so you can get better data quality and compliance.

If you want a broader data management system, Informatica offers AI-powered data management that links, manages and unifies data across hybrid and multi-cloud environments. Its tools include data catalog, data integration and observability, so it's a good option for companies that want to modernize their data management and get their data ready for AI.