Data

Is your data really reliable? Each error, duplicate, or missing piece of information seems trivial, but added up, they cost businesses millions. What if your organization's biggest hidden expense was... in your data?

In a world where businesses are overwhelmed by data, the challenge is no longer to collect, but to transform this mass into concrete decisions. Discover how a pipeline powered by AI — from collection to action, including cleaning, enrichment and analysis — makes it possible to make information reliable, to anticipate trends and to make data a real strategic lever.

In a world where every interaction, transaction, or operation generates data, businesses have never had so much information at their fingertips. However, as the Bpifrance Le Lab study reveals, a large part of this capital remains unexploited. SMEs and ETIs have files, tables, histories and indicators by the thousands... but this data is dormant, scattered in various systems, incomplete or poorly exploited. The result: strategic decisions taken with a partial vision of reality, even though this information could become a major driver of performance and innovation.

Every business is sitting on an invisible gold mine: its data. Transactions, customer interactions, market trends... everything is there, but it's often scattered, untapped, or unusable. According to Gartner, 97% of the data collected is never used. And when they are, their poor quality can cost millions every year. However, behind these numbers lies a simple truth: with the right method, raw data can become a powerful competitive advantage. This guide offers a clear path, from initial cleaning to strategic decision, based on key figures and concrete tools.

Do you think that your reports only cost time? In reality, they can snack on up to €10,000 per year and per employee... without anyone noticing. Learn how this hidden cost is undermining your margins and how to eliminate it before it takes hold.

80% of SMEs believe that the quality of their data hampers strategic decision-making. What if your next competitive advantage was simply... better data reliability? This article explores why the quality of your data is a business priority, how AI can transform your relationship with information, and what concrete actions to take today.