Data, decoded by the people who work with it
Insights, methods and real-world cases to structure, secure and use your data with AI.
Vibe coding en PME : le vrai risque, ce sont vos données
Vos équipes créent des outils avec l'IA ? 2 000 applications vibe codées étaient ouvertes sans mot de passe. Les vrais risques en PME et comment les éviter.
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Données RH et CSE : ce que vous devez fournir en 2026
BDESE, transparence salariale, consultation sur l'IA : ce que votre CSE est en droit d'attendre en 2026, et comment fiabiliser vos données RH sans y passer des semaines.
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BDESE : Excel, logiciel BDESE ou Kyklos ?
Tenir sa BDESE sous Excel, avec un logiciel BDESE ou avec Kyklos : comparatif des trois options, critères légaux à l'appui, forces et limites de chacune.
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Expert-comptable : faire de la BDESE une mission rentable
Près de 37 000 entreprises doivent tenir une BDESE. Pourquoi le cabinet comptable est bien placé, comment structurer et chiffrer la mission, et les pièges à éviter.
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Dirigeant de PME face à l'IA : pourquoi c'est si difficile (et par où commencer)
Dirigeant de PME, l'IA vous semble floue, risquée, chronophage ? Les 5 difficultés réelles, chiffres Insee et Bpifrance à l'appui, et un plan en 4 semaines.
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L'inexactitude est devenue le risque n°1 de l'IA
+14 points en un an : l'inexactitude dépasse la cybersécurité au classement des risques IA. Et les taux d'hallucination s'étalent de 22 % à 94 % selon le modèle.
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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.
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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.
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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.
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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.
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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.
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Enterprise data security: stakes, risks and solutions for 2026
GDPR, encryption, access governance: the complete overview of enterprise data security for 2026.
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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.