Benoit Riou is a French statistical engineer and consultant specialized in data analysis, artificial intelligence, and process automation. Founder and CEO of Stat & More since 2013, he has accumulated more than XX years of experience in market research, data processing, and statistical modeling sectors.
Education
Graduated in 1998 from ENITIAA (now Oniris) in Nantes, in the department Sciences and Decision Support Methods, with a specialization in statistical data modeling and processing. He attended a preparatory class in Math Sup/Spe Bio at LEGTA du Chesnoy (1991-1994).
Professional Career
1998-2000: Head of Statistics and IT at Adriant (Merieux NutriSciences) in Nantes. He developed expertise in consumer preference mapping and computerized sensory and consumer data collection.
2000-2007: Statistical Director at Synovate in Lyon. He created a data processing service (5 team members), managed multivariate analyses (ANOVA, segmentation, PCA…), and participated in an international network of 50 statisticians focused on product innovation.
2008-2011: Operations Director at Synovate France in Paris. Member of the executive committee, he defined operational strategy, monitored P&L budgets and KPIs, and led a sales team (2011 revenue: €16.3M).
2012-2013: Deputy Managing Director at Ipsos Observer (formerly Synovate France) in Paris. He integrated Ipsos teams, optimized offshore processing (Bulgaria, Lebanon, Tunisia), and implemented IBM Data Collection.
Since 2013: CEO of Stat & More in Le Mans. He oversees commercial activities, production, and R&D on various research topics such as experimental design optimization, text analysis, AI, and automation.
Teaching and Additional Training
Part-time lecturer:
at IUT Lyon 2 Lumiere (SD bachelor’s degree 3, dashboard and data visualization, eCommerce projects since 2013; preference mapping 2006-2009),
at CNAM Le Mans (Data RH bachelor’s degree 3 since 2020)
House of Code Le Mans for SQL language initiation in 2020.
Benoit Riou has also pursued training throughout his career including BayesiaLab (Bayesian networks, 2013), Become a Tutor / Trainer (Creaction, 2012), management (Zest 2008-2010, Demos 2010), and Synovate tools (Loyalty Analyser 2007, Market-Quest 2004).
Technical Skills
Mastery of SAS, SPSS, R, Python, VBA, IBM Quantum Dimension; software such as Microsoft Office, LibreOffice, GIMP; Linux and Windows environments, corporate networks. Professional bilingual English.
Why brand equity has become the central concept of modern marketing, how Aaker’s and Keller’s models fit together, and how the Stat & More approach helps you truly measure the strength of your brand in your competitiv environnement.
Measuring the strength of a brand beyond awareness. A brand’s strength is reflected in its ability to be spontaneously cited, recognized, considered, purchased, desired, and also in the quality of the mental universe it builds over time.
Why it is dangerous to look at only a single optimal solution from a TURF analysis, and how the Stat & More approach, supported by an online demo tool, makes it possible to consciously select truly relevant portfolios.
Typology is not just a segmentation technique: it is a strategic key for innovation, personalizing the customer relationship and supporting decision‑making. Why are these methods now essential assets for business?
Stat & More offers various statistical methods depending on your study objectives and data: Bayesian networks approach or Shapley Value decomposition are two different tools to identify your driver factors.
Collective Intelligence: the example of the agency Sarthe Tourism with the support of Stat & More to enhance and automate the processing of Orange Flux Vision™ data for the department and for local tourist offices.
When it comes to communicate study results by market segment to a large number of stakeholders, automating the production of study reports becomes a powerful lever for productivity & data valorization.
A single solution resulting from a TURF analysis should never be delivered to the end customer; instead, a set of candidate solutions should be considered and analyzed together with the customer.
TURF Analysis based on MaxDiff outputs: a powerful combination for maximizing preference share in the current competitive business landscape, choosing the right features combo for better decisions.
The balance between “Know-Being” and “Know-How” : keys to motivation and entrepreneurial posture through an original data analysis on the dynamics of entrepreneurship.
A typology is a methodical approach, consisting of characterizing a subset of homogeneous statistical individuals from a population or sample of data, in order to facilitate the analysis and study of complex realities.
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In statistics, outliers are values that are significantly different from other values in a databases, and are data that should be considered very carefully before initiating any marketing or modeling analysis.
Correlation is a statistical indicator widely used in data analysis, particularly in marketing sciences for satisfaction surveys for example, in tracking context or not, for product or service’s innovation, brand images etc.
When the purpose of a study is to evaluate the performance of stimuli and each of the stimuli are rated by respondents, at the time of analysis, we should question the level of performance of these items or trials.
Stat & More is your partner in statistical consulting and data processing, at the service of research companies, consultants, advertisers and all companies who have to process and enhance their data.
TETRACLASSE model* or Llosa’s matrix allows us to prioritize the attributes impacting the satisfaction or dissatisfaction of a population towards a service/product or a brand according to two main criteria: