Data

Data is now considered the new black gold for businesses, but for many organizations, it remains trapped in crippling digital disorder. This data chaos generates invisible but substantial costs: time wasted searching for information, risky decisions based on erroneous data, and compromised agility. Discover how to identify this problem and, most importantly, how to transform this disorder into a true growth lever through a structured approach to your information assets.RéessayerClaude peut faire des erreurs. Assurez-vous de vérifier ses réponses.

It is now possible to use your data effectively without recruiting a data analyst. Thanks to AI and accessible tools, managers, CFOs or business managers can obtain automatic analyses, ask questions in natural language, and manage their business without technical skills.

Many businesses make strategic decisions based on dashboards that are visually flawless but fed by incorrect or incomplete data. This article explores the risks associated with poor data quality, the invisible errors in visualization tools, and best practices for making reliable analyses and making truly informed decisions.

Data quality is an underestimated strategic driver. Complete, accurate, consistent and up-to-date data is essential to effectively manage your business, avoid reporting errors, and make your decisions reliable. This article presents a concrete method in three steps — audit, cleaning, governance — and shows how adapted tools (including AI) make it possible to structure your databases sustainably. The result: time savings, better internal coordination, and truly useful analyses. Clean data is the starting point for all sustainable performance.

In a world where agility and responsiveness have become strategic imperatives, decision-makers are increasingly turning to real-time insights to inform their choices. A recent study reveals that 51% of business leaders plan to adopt real-time analytics solutions in order to speed up their decision-making process.

Why is the AI ambition of companies coming up against the reality of insufficient data quality? Discover the findings of the “2025 Outlook: Data Integrity Trends and Insights” study and the solutions to strengthen your data foundations.