CDOs’ decisions and actions can be challenged if they cannot produce enough value from data for their organizations. Among the factors that can impact value creation, data reliability is one of the most important. When low, it not only increases maintenance costs but also lowers productivity and affects users' trust in the data team.

To guarantee reliable data and mitigate risks, CDOs have the opportunity to structure their teams, distribute the responsibilities, and put in their hands the right tool and method.

During this session, our expert will detail how the data team members can work together and adopt Data Observability to make the data they produce and consume more reliable.

• How does the evolution of data teams impact data reliability?
• How can the responsibilities be shared to troubleshoot data issues faster?
• How can Data Observability fit into data teams’ structures?