Benoit Riou

About author

ONIRIS engineer, specialized in Sciences and Method for Decision, Benoit builds expertise in external preference mapping and typology.

In 2000, Benoit joined Synovate to set up a data processing unit and an IT department in Lyon. From 2005 to 2012, Benoit was Scientific Manager for the Synovate group, collaborating with some fifty colleagues worldwide on statistical innovation projects.

In 2008, he moved to head up Operations at Synovate France, before becoming Deputy Managing Director of Ipsos Observer in 2011.

In 2013, Benoit created Stat & More in Le Mans, a company specialized in statistical consultancy, automation, artificial intelligence & data processing.

Benoit is also a part-time lecturer at Lyon II in the Data Sciences degree program, and at the CNAM in Le Mans in the Human Resources Management License 3, Data RH module.

Author's posts

Analyze TURF

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

Better understand and segment thanks to statistical typology Typology is not just a segmentation technique: it is a strategic key for innovation, adapting the offer, personalizing the customer relationship and supporting decision‑making.

Driver Analysis, Bayes vs Shapley

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.

Tourist Attendance Report

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 entire department and for the benefit of local tourist offices.

Study Report Automation

When it comes to communicate personalized study results by region or market segment to a large number of stakeholders, automating the production of study reports becomes a powerful lever for productivity and data valorization.

TURF and Digression

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, their data, and their internal constraints, in co-construction.

MaxDiff and TURF

TURF Analysis based on MaxDiff outputs: A Powerful Combination for Maximizing Preference Share in the current competitive business landscape, designing the right product or serice by making the right feature decisions.

About the contractors and Data !

The balance between “Know-Being” and “Know-How” : keys to motivation and entrepreneurial posture through an original data analysis on the dynamics of entrepreneurship and the impacts on the structures accompanying these entrepreneurs.

TYPOLOGIE

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.

Outliers

In statistics, outliers are values that are significantly different from other values in a sample or population databases, and are data that should be considered very carefully before initiating any marketing or modeling analysis.

Correlation and Discussion

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.

EXPERIMENTAL DESIGN

When the purpose of a study is to evaluate the performance of a group of stimuli (concepts, products, or services) and each of the stimuli are rated by respondents, at the time of analysis, we should question the level of performance

STAT & MORE PRESENTATION

Stat & More… Is your partner in statistical consulting and data processing, at the service of research companies, consultants, advertisers and all industrial or service companies who have to process and enhance their data.

TETRACLASSE

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: