“J'ai eu le plaisir de gérer Gaël en tant qu'auxiliaire au Guichet informatique, alors qu'il était encore étudiant. Je reconnais en lui une personne fiable, soucieuse de la qualité de son travail et s'impliquant pleinement. Il a été la source et l'auteur de nombre d'améliorations. Je ne peux que le recommander à tout futur employeur.”
Activity
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#EXPO2025: 𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀🇨🇭🇯🇵 Want to be part of the Swiss Pavilion at Expo 2025 Osaka? – Presence Switzerland and Swissnex aim…
#EXPO2025: 𝗖𝗮𝗹𝗹 𝗙𝗼𝗿 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀🇨🇭🇯🇵 Want to be part of the Swiss Pavilion at Expo 2025 Osaka? – Presence Switzerland and Swissnex aim…
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𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗶𝗹𝗱 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗜 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘁𝗶𝗲𝘀 🚀🤖 In my daily AI adventures, I meet a colourful spectrum of…
𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗪𝗶𝗹𝗱 𝗪𝗼𝗿𝗹𝗱 𝗼𝗳 𝗔𝗜 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘁𝗶𝗲𝘀 🚀🤖 In my daily AI adventures, I meet a colourful spectrum of…
Liked by Gaël Bernard
Experience
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Education
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Helsinki Metropolia University of Applied Sciences.
Erasmus exchange program for two semesters -
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Publications
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Selecting Representative Sample Traces from Large Event Logs.
In 3rd International Conference on Process Mining (ICPM)
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VisuELs: Visualization of Event Logs (Extended Abstract).
In 3rd International Conference on Process Mining (ICPM)
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Cut to the Trace! Process-Aware Partitioning of Long-Running Cases in Customer Journey Logs.
In 33rd International Conference on Advanced Information Systems Engineering (CAiSE), pages 519-535, Cham. Springer.
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Process Mining-based Customer Journey Analytics.
PhD Thesis. University of Lausanne, Faculty of Business and Economics (HEC), Switzerland.
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Truncated trace classifier. removal of incomplete traces from event logs
. In 21st International Working Conference on Business Process Modeling, Development, and Support (BPMDS), pages 150–165, Cham. Springer.
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Accurate and Transparent Path Prediction Using Process Mining.
23rd European Conference on Advances in Databases and Information Systems At: Bled, Slovenia (ADBIS’19)
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Contextual and Behavioral Customer Journey Discovery Using a Genetic Approach
23rd European Conference on Advances in Databases and Information Systems
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Discovering Customer Journeys from Evidence: a Genetic Approach Inspired by Process Mining
31th International Conference on Advanced Information Systems Engineering (CAiSE’19)
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CJM-ab: Abstracting Customer Journey Maps using Process Mining.
30th International Conference on Advanced Information Systems Engineering (CAiSE’18)
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Discovering Customer Journey Maps using a Mixture of Markov Models
International Symposium on Data-Driven Process Discovery and Analysis, Neuchâtel
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CJM-ex: Goal-oriented Exploration of Customer Journey Maps using Event Logs and Data Analytics
Conference: 15th International Conference on Business Process Management, At Barcelona
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A Process Mining Based Model for Customer Journey Mapping
CAiSE'17 (International Conference on Advanced Information Systems Engineering)
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When Sales Meet Process Mining: A Scientific Approach to Sales Process and Performance Management
International Conference on Information Systems (ICIS 2016)
Selling has long been considered as an “art” driven by personal intuition and native sales talent. However, significant changes have occurred over the past 30 years, as a result of technological advances and changing customer expectations. As one answer to these changes, practitioners and scholars have promoted the idea of “sales as a science”, relying on documented, repeatable ways of selling that reflect scientific methods. We argue that process mining is a relevant candidate for empowering…
Selling has long been considered as an “art” driven by personal intuition and native sales talent. However, significant changes have occurred over the past 30 years, as a result of technological advances and changing customer expectations. As one answer to these changes, practitioners and scholars have promoted the idea of “sales as a science”, relying on documented, repeatable ways of selling that reflect scientific methods. We argue that process mining is a relevant candidate for empowering “sales as a science” via its capacity to analyze, discover, and enhance end-to-end processes. Through a design science approach, we propose a framework for applying process mining to sales, comprising a refined notation and seven process mining analysis scenarios. Our study represents a first step towards gaining a better understanding of real-world sales processes based on digital traces from operational systems e.g., customer relationship management (CRM) systems, or emerging technologies e.g., smart watches.
Keywords: Sales as a Science, Process Mining, Scientific Workflow, Sales Performance,
Sales Force Automation, Customer Relationship Management
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Patents
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Data visualization platform for event-based behavior clustering
Filed US US20210004386A1
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Accurate and transparent path prediction using process mining
Issued US WO2020124240A1
Honors & Awards
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Best master thesis award (along with best average grade)
Department of Information Systems, HEC Lausanne
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Best bachelor thesis award
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Third best federal certificate
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Languages
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Français
Native or bilingual proficiency
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Anglais
Full professional proficiency
Recommendations received
2 people have recommended Gaël
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