This episode of the D-Suite delves into the big ideas and small details that make up a strong data culture. The hosts reflect on experiences from the past year of Gartner conferences, and lessons from data and analytics leaders who have succeeded (and failed) to optimize their culture.

The main topics covered include:

• How to make people genuinely care about their data culture.
• How to go from talking about being data-driven to actually being data-driven.
• Drivers of poor culture and things to watch out for.
• What active leadership and cultural influence look like.

Sarah James is a Senior Research Director in Gartner’s CDAO practice where she focuses on topics at the intersection of data and human behavior — including CDAO impact and influence, data-driven culture development, bringing people along on the data journey, self development, effective delivery, neurodiversity, and more.

Peter Krensky is a Senior Director, Analyst on Gartner’s Analytics and AI team, specializing in data science and machine learning, including predictive and prescriptive analytics, generative AI, analytics and data science tools and platforms, self-service, data science team structure, AI talent management and data and analytics education. Before Gartner, Peter was a research analyst with Aberdeen Group.

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