#295: Research and Analytics: the Peanut Butter and Chocolate of Data?
From The Analytics Power Hour by Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, and Julie Hoyer
April 14, 2026 · 1h 9m
About this episode
The episode discusses the divide between research and analytics and how combining both can lead to better insights.
Research and analytics: are they more like peanut butter and chocolate, or more like oil and water? On this episode, we dig into the surprisingly common (and surprisingly unfortunate) divide between these two disciplines with Stefanie Zammit , Global Director of Analytics and Insights at Bang & Olufsen. Stefanie has spent her career bridging the qual and quant worlds, and she makes a compelling case that the best insights come from putting both methodologies to work on the same business problems. From the "never ask a survey question you already have the answer to" rule to why personas are usually terrible (spoiler: it's not the clustering, it's the storytelling), we explore how organizations can break down the silos between research and analytics teams. Turns out, the fear of the unknown and a bunch of fancy terminology might be keeping us from some pretty powerful insights. Also, apparently 100% soundproof rooms are absolutely terrifying. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page .
People in this episode
Hosts: Michael Helbling, Moe Kiss, Tim Wilson, Val Kroll, Julie Hoyer
Guest: Stefanie Zammit
Topics covered
- research
- analytics
- data insights
- qualitative research
- quantitative research
- business problems
- team collaboration
Keywords
- research
- analytics
- data
- insights
- qualitative
- quantitative
- business
- methodologies
- silos
Mentioned in this episode
Organizations: Bang & Olufsen
More episodes of The Analytics Power Hour
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- #294: Adapting an Analytics Team to an AI World · March 31, 2026 · 1h 8m
- #293: Tool Selection and the Unhelpfulness of Feature Comparisons · March 17, 2026 · 1h 6m
- #292: AI Without Adult Supervision with Aubrey Blanche · March 3, 2026 · 1h 4m
- #291: The Data Work that Lives in the Shadows · February 17, 2026 · 1h 3m
- #290: Always Be Learning · February 3, 2026 · 1h 6m
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