With over twenty years of experience in Data, Azzeddine Bendjebbour, President of Suadeo, shares market trends in an interview with IT Social magazine. A unified architecture across the entire data lifecycle, expert AI agents at every stage: companies must rethink their approach to data to fully unlock its value.
The quotes are taken from the interview published in IT Social, available here.
Despite significant technological investments, a gap remains between data infrastructures and their actual use by business teams.
“Projects produce reporting, but rarely decision-making insights.”
Data still too far removed from Business Teams
Mass data collection, storage, processing… data architectures have become industrialized in recent years. But this sophistication has shifted complexity toward usage.
There are still many intermediaries between data and operational use, analysis cycles remain long, and business teams lack responsiveness.
“Business teams have to go through intermediary teams to obtain an analysis or evolve a metric, which creates long iteration cycles, sometimes several weeks. At the operational level, this greatly limits the ability to test hypotheses, adjust actions, and quickly measure their effects. The data is there, but its use remains constrained by the organization.”
Freedom of action vs. Traditional BI: the end of a cycle
While business intelligence tools have democratized data visualization, they often remain limited to static views, with fixed dashboards, shallow exploration, and a persistent dependence on data teams to go further.
“A dashboard is a representation at a given moment. It doesn’t allow you to explore a business issue or test its levers. (…) Tools cover part of the need, but they don’t remove dependencies.”
Restoring the ability to act directly on data
For Azzeddine Bendjebbour, the challenge is not only to simplify access to data, but also to enable deep manipulation across the entire value chain, without technical expertise, so that business teams can fully engage in data analysis.
“With this in mind, we developed a platform that integrates all the necessary components, allowing a user to access data, build indicators, test scenarios, and adjust analyses within very short timeframes. This approach significantly reduces iteration cycles and repositions business teams within the decision-making process.”
The key role of a unified, cross-functional data architecture
Unlike fragmented architectures composed of multiple tools, Suadeo advocates for a native and comprehensive approach to the data lifecycle, from collection to usage, unified within a single environment.
Without additional layers or technical dependencies on third-party tools, this model avoids inconsistencies in the processing chain and ensures end-to-end governance. A single engine, a single interface throughout the data lifecycle, simplifies user onboarding while enhancing freedom of use.
“Connectors, pipelines, governance, and analytical functions are brought together, reducing technical complexity and making usage easier. It also allows centralization of business rules and access rights, making them much easier to understand and evolve.”
Artificial Intelligence as a continuous assistant and accelerator
AI plays a structuring role in this transformation: automation of technical tasks, continuous user assistance, and reduced time between question and answer.
Natively embedded at the core of the architecture and distributed across every stage of the data lifecycle, AI must support both technical and business users. This implies the presence of multiple AI agents, each with specific expertise depending on where they operate (ETL, Data Catalog, Dashboard…).
AI agents are natively integrated into the platform, ensuring full control over data as well as a deep understanding of the organization and its business processes.
“AI does not replace business teams; it augments them by enabling faster analysis and decision-making.”
A changing market, driven by sovereignty concerns
The data market is undergoing rapid transformation. It is evolving toward more integrated architectures, data mesh approaches, and a stronger focus on usage.
At the same time, sovereignty is becoming an increasingly important criterion in the redesign of data infrastructures, especially in public and regulated organizations.
“organizations are seeking greater control over their data and the infrastructures that host it. In France, there are players capable of addressing these challenges, but they are not always considered at the same level as international solutions. This raises questions about balance in technology choices.”
To address these challenges (rationalizing infrastructure, boosting analytical power, empowering business teams, building usage-oriented architectures, and strengthening data protection), Suadeo reinvests 80% of its annual revenue into Research & Development.
Its 21 years of R&D have enabled it to solve complex technical and functional challenges, offering a powerful French alternative in a market historically dominated by American hyperscalers.
“The transformation is already underway, and the challenge now lies in organizations’ ability to adapt their practices and models to fully benefit from it.”
Find the full interview with Azzeddine Bendjebbour on IT Social
« Data must be put back into the hands of business teams » : Azzedine Bendjebbour, Founder & CEO of Suadeo – IT SOCIAL
