Edouard Flouriot is Director of Data at Aircall, the phone and communication platform designed for sales and support teams. Active in more than 100 countries with more than 10,000 customers, Aircall achieved centaur status after securing over $100 million in annual recurring revenue in 2022. In this episode, Edouard is sharing insights on its biggest recent challenge, which is: how to adapt the data strategy to the slowing economic environment?


We address:


🔥 The overall economic context for scaleups: going from hyperscale to a slower controlled growth

🔥 His conviction that this context requires more centralisation rather than decentralisation (aka Data Mesh)

🔥 How centralisation enables more governance and control over costs and ressource management

🔥 The initiatives that they launched around 3 pillars: cost tracking, project structure and culture shift.


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💪 GOT A DATA PROJECT?


DataGen is also a collective of data freelancers from top companies (BlaBlaCar, Aircall, Critéo, Artefact, 55, Sunday...).

Head of Data, Data Analyst, Data Engineer, Data Scientist... We have the team that you need!

👉 Meet us


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🎬 CHAPTERS


00:00 Trailer

00:43 Introduction

01:41 The context

04:33 The 3 key implemented actions

05:02 1st action: shifting the culture towards more control and governance

07:38 2nd action: being more budget conscious by optimizing current tools & migrating to new ones

10:47 Focus on Fivetran & Looker

13:30 3rd action: identifying where to invest the efforts to better structure projects

18:01 The other challenges Edouard faced

20:00 Edouard’s ressource recommendations

21:07 What he likes most about data

21:51 What made him improve the most

22:47 The best advice Edouard ever received


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📚 RESSOURCES


- The book Trillion Dollar Coach

- The article “The Next Era of Data at Instacart” by Nate Kupp


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🧐 OTHER EPISODES


🇦🇺 #96 - Deezer : How I restructured the Business Analytics team and made it more Business-Focused

#50 - Ledger : Monter le département Data d'une licorne

#14 - Aircall : Faire scaler l'impact de l'équipe data sur l'entreprise


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