#64 Creating Trust in Data with Data Observabilty

In this episode of DataFramed, Adel speaks with Barr Moses, CEO, and co-founder of Monte Carlo on the importance of data quality and how data observability creates trust in data throughout the organization.  Throughout the episode, Barr talks about her background, the state of data-driven organizations and what it means to be data-driven, the data maturity of organizations, the importance of data quality, what data observability is, and why we’ll hear about it more often in the future. She also covers the state of data infrastructure, data meshes, and more.  Relevant links from the interview: Connect with Barr on LinkedInLearn more about data meshesCheck out the Monte Carlo blogDataCamp's Guide to Organizational Data Maturity

Om Podcasten

DataFramed is a podcast for data & analytics leaders looking to scale data science throughout an organization by equipping them with the insights to drive value from data science and create a data-driven culture. Each episode will feature a conversation with various data science and analytics leaders who are transforming their organizations and are at the forefront of the data revolution. Whether you’re just getting started in your data career, or you’re a data leader looking to scale data-driven decisions in your organization, you’ve found the right community. Welcome to DataFramed!