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#64 Creating Trust in Data with Data Observabilty
DataFramed
English - June 14, 2021 08:00 - 43 minutes - 39.9 MBTechnology data science data literacy learning and development artificial intelligence machine learning Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: #63 The Past and Present of Data Science
Next Episode: #65 Preventing Fraud in eCommerce with Data Science
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