Data, decoded by the people who work with it
Insights, methods and real-world cases to structure, secure and use your data with AI.
Une journée par semaine à chercher vos propres chiffres
McKinsey chiffre à 1 h 48 par jour le temps passé à chercher de l'information. Pour un dirigeant, c'est une journée par semaine à reconstituer ce que l'entreprise possède déjà.
Read the article (in French)
Trop de logiciels : le vrai coût du jonglage quotidien
1 200 bascules d'un outil à l'autre par jour, cinq semaines de travail par an. Le coût réel du jonglage logiciel pour un dirigeant de PME, et ce qui le fait vraiment baisser.
Read the article (in French)
L'IA pour un dirigeant de PME : ce qui change vraiment
Ni révolution ni gadget. Ce que l'IA change concrètement dans le pilotage d'une PME, les trois usages qui tiennent la route, et la séquence qui évite l'échec.
Read the article (in French)
Adoption de l'IA par les TPE/PME françaises : état des lieux
De 31 % à 55 % en douze mois selon Bpifrance. Mais 17 % seulement en usage régulier. Les chiffres 2026 de l'adoption de l'IA en PME, et les cinq freins réels.
Read the article (in French)
Shadow AI : les risques d'une IA utilisée sans cadre
20 % des violations de données impliquent une IA non encadrée, avec 670 000 $ de surcoût. Les cinq risques réels du shadow AI, et pourquoi l'interdiction ne marche pas.
Read the article (in French)
Frankenstack : quand votre SI devient un monstre recousu
Des outils excellents, reliés par des exports et des copier-coller. Sept symptômes pour diagnostiquer votre frankenstack, et la méthode en cinq étapes pour en sortir.
Read the article (in French)
AI hallucinations: why your assistant makes up numbers
An AI plugged into scattered data invents plausible answers. Why hallucinations are a data problem — and how to eliminate them.
Read the article (in French)AI projects: why data quality is the real ROI
80% of AI projects fail because of unprepared data. Here's why data quality is AI's real ROI lever.
Read the article (in French)
Why pasting your data into ChatGPT isn't a solution (and is dangerous)
Copy-pasting business data into ChatGPT seems convenient. In reality it's risky, unreliable and non-compliant. Here's the right approach.
Read the article (in French)
CRM: the 7 data mistakes that cost you dearly (and how to avoid them)
Duplicates, empty fields, manual imports… The 7 most common data mistakes in SME CRMs, and how to fix them.
Read the article (in French)
10 Excel mistakes costing your SME €50K a year
Broken formulas, multiple versions, re-typing… These 10 Excel mistakes are expensive. How to spot and eliminate them.
Read the article (in French)
Enterprise data security: stakes, risks and solutions for 2026
GDPR, encryption, access governance: the complete overview of enterprise data security for 2026.
Read the article (in French)
Data & you #1: what is data, actually?
First episode of our educational series: what data is, its formats, and why it's the foundation of your reporting.
Read the article (in French)Automated Data Processing: what it really means for your business
Automated data processing without the jargon: what it is, what it changes in practice, and where to start.
Read the article (in French)Digitalization & e-invoicing: Italy shows the future of French accounting firms
Italy generalized e-invoicing years ago. What its experience tells us about the future of French firms.
Read the article (in French)Real-time cash flow: 5 steps to automate your cash tracking
Stop managing your cash in an outdated spreadsheet. 5 concrete steps to automated, reliable cash flow tracking.
Read the article (in French)E-invoicing: the reform reshaping the accountant / SME relationship
The e-invoicing reform is deeply transforming the relationship between firms and SMEs. Analysis.
Read the article (in French)Unlock the potential of your data
A quick audit of your sources, and a clear roadmap to run your business on reliable numbers.