#15 - The Human Side of Data Analytics

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Deeponomics

17 episodes

4 days ago

Deeponomics is a podcast about the deep ideas shaping markets, finance, and accounting — grounded in academic research and critical thinking. Each episode draws from scholarly work to explore how investors make decisions, how narratives influence investments, and how theory connects to real-world finance. Expect conversations with researchers, deep dives into academic papers, and reflections on the stories behind the numbers.

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#15 - The Human Side of Data Analytics

Deeponomics

1 hour 16 minutes 35 seconds

1 month ago

#15 - The Human Side of Data Analytics

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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