DataFramed

#64 Creating Trust in Data with Data Observabilty

Jun 14, 2021

Barr Moses, CEO and co-founder of Monte Carlo, shares her insights on creating trust in data. She discusses the critical role of data quality and observability in organizations, emphasizing how these elements foster a data-driven culture. Barr delves into the evolution of data organizations, outlining the significance of comprehensive data management and the need for cultural shifts. The conversation also highlights data meshes as solutions to bottlenecks, and the important role of metadata in driving business outcomes.

43:29

Creator website

Episode guests

Barr Moses

AI Chapters

Episode notes

Intro

2min

Building Trust in Data-Driven Organizations

22min

Understanding Data Observability

8min

The Essential Role of Metadata and Data Lineage Management

3min

Exploring the Concept of Data Mesh to Overcome Data Bottlenecks

6min

Exploring the Future of Data Mesh Adoption

3min

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: