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.
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Data Downtime Frustration
- At Gainsight, Barr Moses faced weekly data-related queries, highlighting data distrust.
- This frustration, shared by other data professionals, inspired her to found Monte Carlo to address data downtime.
Defining Data-Driven
- True data-drivenness requires a cultural and mindset shift, supported by technology.
- It involves every department actively using data, not just data scientists.
Data Challenges
- Three trends challenge data-driven organizations: increasing data volume, greater data reliance, and fragmented data stacks.
- These trends exacerbate the core issue of trust in data.