Welcome, friend and future deep-dweller!
In this episode of Deeponomics, we sit down with Eldar Maksymov to explore the human side of data analytics.
Maksymov, a Professor at Arizona State University and Visiting Professor at the Stockholm School of Economics, studies how organizations actually make analytics useful in financial reporting and decision-making. His work highlights the human, interpretive, and organizational dimensions that often get overshadowed by the technology itself.
We take a deep dive into his recent research based on interviews with American financial executives—uncovering how leaders frame, negotiate, and embed analytics into everyday practice.
Along the way, we discuss sensemaking, resistance, and the messy process of transforming underperforming tools into genuinely decision-useful practices.
Drawing on qualitative, field-based insights, Maksymov shows that analytics succeeds not because of algorithms alone, but because humans give it meaning, legitimacy, and purpose in complex organizational settings.
Learn more about Eldar Maksymov: https://search.asu.edu/profile/2393744
This episode is produced in cooperation with the Stockholm School of Economics podcast, Numbers Talk. It is a longer and less filtered version of that conversation.
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