With nearly three decades of experience in digital marketing, Renaud de Lombaert has honed his expertise in data processing. From pioneering the first digital audience measurement within the CIM's Internet Technical Committee to co-managing the BEWEB advertising network for 11 years, and analyzing CRM and analytical data for clients of the Digitas LBI agency, he has consistently demonstrated his knack for extracting valuable information from a wide array of data sources.

He recently took on a pivotal role at Dataceed, leading the development of the company's training activity in self-BI analysis tools. These tools, which he has been instrumental in developing, empower (almost) anyone to extract knowledge from their data, making the audience feel empowered.
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Talk to your data: Get actionable insights by asking a simple question.
 

Before the advent of modern Business Intelligence (BI) tools, data-driven decision-making was a slow and labor-intensive process. Analysts relied on static spreadsheets to manually calculate trends. The introduction of platforms like Tableau, Power BI, and Qlik revolutionized this process by automating data collection and visualization, enabling real-time insights for quicker and more informed decisions. However, some level of technical expertise is still required to fully utilize these tools.

Now, Large Language Models (LLMs) are further transforming BI by allowing users from various departments to interact with data more intuitively. With the capability to ask questions in plain language, such as “Which product category experienced the highest growth last month?”, LLMs make data accessible to everyone. This empowers employees to make fast, data-driven decisions without needing to rely on technical specialists. This shift democratises data access, fostering a culture of productivity and data literacy. Here is a case.