{"id":22303,"date":"2026-04-20T15:17:20","date_gmt":"2026-04-20T13:17:20","guid":{"rendered":"https:\/\/suadeo.fr\/2026\/04\/20\/putting-data-back-in-the-hands-of-business-teams-the-vision-of-suadeos-ceo\/"},"modified":"2026-04-20T15:17:20","modified_gmt":"2026-04-20T13:17:20","slug":"putting-data-back-in-the-hands-of-business-teams-the-vision-of-suadeos-ceo","status":"publish","type":"post","link":"https:\/\/suadeo.fr\/en\/2026\/04\/20\/putting-data-back-in-the-hands-of-business-teams-the-vision-of-suadeos-ceo\/","title":{"rendered":"Putting data back in the hands of Business Teams: the vision of Suadeo\u2019s CEO"},"content":{"rendered":"\n<p class=\"has-medium-font-size\"><strong>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. <\/strong><\/p>\n\n<p><em>The quotes are taken from the interview published in IT Social, <a href=\"https:\/\/itsocial.fr\/contenus\/actualites\/intelligence-artificielle-actualites-contenus\/il-faut-sortir-la-data-de-lit-pour-la-remettre-entre-les-mains-des-metiers-azzedine-benjebbour-fondateur-de-suadeo\/\" target=\"_blank\" rel=\"noreferrer noopener\">available here<\/a>.  <\/em><\/p>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<p>Despite significant technological investments, a gap remains between data infrastructures and their actual use by business teams.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Projects produce reporting, but rarely decision-making insights.&#8221;<\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">Data still too far removed from Business Teams<\/h2>\n\n<p>Mass data collection, storage, processing\u2026 data architectures have become industrialized in recent years. But this sophistication has shifted complexity toward usage.  <\/p>\n\n<p>There are still many intermediaries between data and operational use, analysis cycles remain long, and business teams lack responsiveness.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;Business teams have to go through intermediary teams to obtain an analysis or evolve a metric, which creates long iteration cycles, sometimes several weeks. <strong>At the operational level, this greatly limits the ability to test hypotheses<\/strong>, adjust actions, and quickly measure their effects. The data is there, but its use remains constrained by the organization.&#8221; <\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">Freedom of action vs. Traditional BI: the end of a cycle<\/h2>\n\n<p>While business intelligence tools have democratized data visualization, they often remain limited to static views, with <strong>fixed dashboards<\/strong>, shallow exploration, and a persistent <strong>dependence<\/strong> on data teams to go further.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;A dashboard is a representation at a given moment. It doesn\u2019t allow you to explore a business issue or test its levers. (\u2026) Tools cover part of the need, but they don\u2019t remove dependencies.&#8221;<\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">Restoring the ability to act directly on data<\/h2>\n\n<p>For Azzeddine Bendjebbour, the challenge is not only to simplify access to data, but also to enable deep manipulation <strong>across the entire value chain, without technical expertise<\/strong>, so that business teams can fully engage in data analysis.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;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.&#8221;<\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">The key role of a unified, cross-functional data architecture<\/h2>\n\n<p>Unlike fragmented architectures composed of multiple tools, Suadeo advocates for <strong>a native and comprehensive approach to the data lifecycle<\/strong>, from collection to usage, unified within a single environment.<\/p>\n\n<p>Without additional layers or technical dependencies on third-party tools, this model avoids inconsistencies in the processing chain and ensures <strong>end-to-end governance<\/strong>. <strong>A single engine<\/strong>, <strong>a single interface<\/strong> throughout the data lifecycle, <strong>simplifies user onboarding while enhancing freedom of use<\/strong>.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;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.&#8221;<\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">Artificial Intelligence as a continuous assistant and accelerator<\/h2>\n\n<p>AI plays a structuring role in this transformation: automation of technical tasks, continuous user assistance, and reduced time between question and answer.<\/p>\n\n<p><strong>Natively<\/strong> embedded at the core of the architecture and <strong>distributed across every stage of the data lifecycle<\/strong>, 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\u2026). <\/p>\n\n<p><strong>AI agents <\/strong>are natively integrated into the platform, ensuring full control over data as well as a deep understanding of the organization and its business processes.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;AI does not replace business teams; it augments them by enabling faster analysis and decision-making.&#8221;<\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">A changing market, driven by sovereignty concerns<\/h2>\n\n<p>The data market is undergoing rapid transformation. It is evolving toward <strong>more integrated architectures, data mesh approaches<\/strong>, and <strong>a stronger focus on usage<\/strong>. <\/p>\n\n<p>At the same time, <strong>sovereignty<\/strong> is becoming an increasingly important criterion in the redesign of data infrastructures, especially in public and regulated organizations. <\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;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.&#8221;<\/p>\n<\/blockquote>\n\n<p>To address these challenges (rationalizing infrastructure, boosting analytical power, empowering business teams, building usage-oriented architectures, and strengthening data protection), Suadeo reinvests <strong>80% of its annual revenue <\/strong>into Research &amp; Development. <\/p>\n\n<p>Its <strong>21 years of R&amp;D<\/strong> have enabled it to solve complex technical and functional challenges, offering <strong>a powerful French alternative <\/strong>in a market historically dominated by American hyperscalers.<\/p>\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;The transformation is already underway, and the challenge now lies in organizations\u2019 ability to adapt their practices and models to fully benefit from it.&#8221;<\/p>\n<\/blockquote>\n\n<div style=\"height:18px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<h2 class=\"wp-block-heading\">Find the full interview with Azzeddine Bendjebbour on IT Social<\/h2>\n\n<p><strong>\u00ab\u2009Data must be put back into the hands of business teams\u2009\u00bb : Azzedine Bendjebbour, Founder &amp; CEO of Suadeo &#8211; IT SOCIAL<\/strong> <\/p>\n\n<div style=\"height:28px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n<div class=\"wp-block-buttons is-content-justification-left is-layout-flex wp-container-core-buttons-is-layout-fdcfc74e wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-background wp-element-button\" href=\"&lt;!--[CDATA[https:\/\/itsocial.fr\/contenus\/actualites\/intelligence-artificielle-actualites-contenus\/il-faut-sortir-la-data-de-lit-pour-la-remettre-entre-les-mains-des-metiers-azzedine-benjebbour-fondateur-de-suadeo\/]]--&gt;\" style=\"background-color:#2fb2ab\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>READ THE IT SOCIAL ARTICLE<\/strong><\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>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 [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":22287,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[35,46],"tags":[277,664,150,116,117,357,307,1223,1230,531,608,522,1231,572,455,75,830,654,725],"class_list":["post-22303","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-review","category-business-trends","tag-artificial-intelligence","tag-azzeddine-bendjebbour-en","tag-bi-en","tag-business-intelligence-en","tag-data-en","tag-data-en-3","tag-data-analysis","tag-data-architecture","tag-data-life-cycle","tag-data-management-en","tag-data-platform","tag-datamanagement-en-2","tag-it-social","tag-self-data-analytics-en","tag-sovereignty","tag-suadeo-en","tag-suadeo-self-data-analytics-en","tag-usage-en","tag-use-of-data"],"meta_box":[],"_links":{"self":[{"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/posts\/22303","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/comments?post=22303"}],"version-history":[{"count":1,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/posts\/22303\/revisions"}],"predecessor-version":[{"id":22304,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/posts\/22303\/revisions\/22304"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/media\/22287"}],"wp:attachment":[{"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/media?parent=22303"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/categories?post=22303"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/suadeo.fr\/en\/wp-json\/wp\/v2\/tags?post=22303"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}