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Your data has powerful stories to tell, but if your team or users find it overwhelming, those insights get lost in translation.It’s time to change that.We are hosting a live training webinar on August 27th at 4:30pm (Paris time) designed to help you transform raw numbers into compelling, visually stunning data stories.📊 Make your data irresistible to exploreBuild Visualizations, Dashboards, and Data Stories That Stand OutIn this practical, hands-on session, you will learn how to: Hook your audience:  design layouts that immediately draw the eye to what matters most. Simplify the complex: turn cluttered charts into clean, intuitive, and interactive experiences. Drive action: master the art of "data storytelling" so your stakeholders don't just look at the data—they actually use it to make decisions. 📅 Event Details Where: Online (Grab your virtual seat below!) Who it's for: Data owners and Catalog curators who want to level up their data presentation game. 👉 Click here to secur

Vos données ont des histoires incroyables à raconter, mais si vos équipes ou vos utilisateurs les trouvent trop complexes, leur impact est totalement perdu.Il est temps de changer la donne !Nous vous invitons à un webinaire de formation en direct le 27 août à 11h (Heure de Paris), conçu pour vous aider à transformer vos chiffres bruts en véritables récits visuels et captivants.📊 Donnez envie d'explorer vos donnéesCréez des visualisations, dashboards et data stories qui font la différenceLors de cette session ultra-pratique, vous découvrirez comment : Capter l'attention immédiatement : structurer vos designs pour guider naturellement l'œil vers les informations cruciales. Simplifier le complexe : transformer des graphiques surchargés en expériences fluides, épurées et intuitives. Déclencher l'action : maîtriser l'art du data storytelling pour que vos utilisateurs ne se contentent plus de regarder les données, mais s'en servent concrètement. 📅 Infos pratiques Où : En ligne (Réserve

A few customers have recently asked us the same question: "In the old experience, I could pick which indicator to display from a dropdown menu on a dataset's chart. That dropdown is gone in the new experience, is this a bug?"Good news: it's not a bug. It reflects an intentional change in how we've structured chart exploration, so here's the full story. What changedIn the previous experience, the Analyze tab opened with a view pre-configured by the data publisher, and end users could then modify that view themselves, including switching indicators via a dropdown.The problem: this blended two very different kinds of usage into one tool, making it hard to tell apart:someone following a guided view the publisher had deliberately set up,  someone doing their own free-form analysis of the dataset.To fix that, we split these into two dedicated tools:Custom views : display a chart pre-configured by the publisher, exactly as intended. This is what replaced the old Analyze tab. Explorer : our ne

Michel Lutz, Chief Data Officer et responsable Data & IA chez TotalEnergies, nous livre une vision ultra-pragmatique et inspirante du futur de nos organisations d'ici 2030.Face à l'explosion des volumes de données et à la complexité des systèmes, l'IA générative et l'automatisation s'imposent comme des impératifs d'efficacité. Mais alors, va-t-on tout déléguer aux machines ? La réponse est un "non" catégorique.Voici les 4 grands enseignements à retenir de son interview :💡 Le CDO, gardien du bon sens : face au marketing technologique omniprésent, le rôle du leader data évolue. Il devient le garant de la culture critique et de la réalité opérationnelle. La fracture numérique de demain ne sera pas une question d'accès aux outils, mais de capacité à les piloter.🛡️ Le risque de la dépendance cognitive : déléguer aveuglément le code ou la prise de décision à des modèles standardisés menace notre souveraineté intellectuelle. Comment formerons-nous les experts de demain si nous ne maîtri

Interfaces are evolving to simplify the management of your data assets, with more intuitive and faster access to different actions (fewer clicks).👉 These improvements are visible in two places in your back office:1. From the catalogue list: content editing actions (processors, schema…) and data asset settings (product page, metadata, access, conversion…) are now directly accessible from each asset, in one click.      2. From a data asset's product page: find these same actions directly within the page to easily switch between content editing and settings, without going back to the catalogue list or leaving the current page. 

Bonjour, Je travail actuellement sur une carte permettant à un utilisateur d’identifer des points d’intérêt en proximité immédiate. J’ai utilisé les paramètres auto-geolocation = ‘true’ ainsi qu’activé l’affichage de la toolbar-geolocation. Sur android j’ai bien le comportement escompté, en revanche sur Iphone j’ai des erreurs de permission refusées dès le lancement de l’app. Les paramètres de safari sur lequel j’ai effectué les tests ont bien la géolocalisation d’activée et l’autorisation attribué à Safari. Il me semble qu’IOS est moins permissif sur l’accès aux données de géolocalisation ? Est ce que les fonctionnalités  d’auto-geolocation ou la toolbar-geolocation sont fonctionnels sur IOS ?  

Hey everyone! 👋The latest Huwise Product Newsletter (Summer Edition) is out, and it’s packed with updates designed to turn our data into a true source of knowledge. As Opendatasoft transitions fully into its new identity as Huwise, the focus is entirely on democratizing data access for everyone—not just data experts.Here’s a quick wrap-up of what’s landing:🤖 Meet Huwy: a conversational AI agent that lets anyone explore datasets and build visualizations using everyday language.📋 Huwise forms: streamlined, fast data collection tools built to ensure data is clean, compliant, and ready for AI applications the moment it's submitted.🔒 Enterprise-grade security: the marketplace solution is now officially ISO 27001 certified, meaning our data sharing remains as secure as it is accessible.🤝 True self-service: improved cataloging and data product discovery tools to help business teams safely find, reuse, and extract value from data without IT bottlenecks.What feature are you most excited to

Hi everyone,Some of you have been wondering how to find the iFrame export options or how to handle the transition for your legacy custom views while activating the new experience. Let’s clear things up and look at current best practices and the upcoming roadmap.1. What happens to my old iFrame codes?Your existing embeds will keep working. If you have already embedded an iFrame code from a legacy custom view or dataset onto a third-party website, it will continue to function normally.However, if you need to modify or reshare this element cleanly, the method has changed:You now need to use the "Visualization" asset. Use the new sharing code found in the Sharing tab of the visualization page. The giveaway indicator: The generated URL will now look like .../pages/visualisation/?headless=true.2. iFrame exports in the new interface: where do we stand?Have you created a highly efficient custom view from the back office, but can't find the option to export it as a widget or iFrame (whether fro

Hey community! 👋We’ve been getting a lot of questions lately about our conversational AI, Huwy, and how it fits into our ecosystem. Let’s clear things up and give you the latest updates! 💡 Is Huwy automatically deployed on the new experience?Huwy is not automatically activated on the new experience, it is an add-on option ✨. It’s there for when you want to supercharge your platform's user experience, but you retain full control over when and how you want to adopt it. 📈 What is the status of Huwy today?Huwy is live, it’s reliable, and it delivers. Battle-tested : it is already running smoothly in production for several of our clients.Constantly evolving: it works great today, and thanks to continuous improvements, it’s only going to get smarter and better every single day. Ready for you: it’s fully available and ready to bring value to your users. Now is the perfect time to test it!🔎 More info here 🛠️ Want to see it in action?Don't just take our word for it, go test it yourself! Hu

Hi everyone! 👋Following a client's activation of the new experience, we encountered a specific behavior regarding custom views that were migrated into code editor pages. If you are managing catalog configurations, this might save you some troubleshooting time!🔍 The behavior In the visualization asset: the dataset used is correctly filled in and visible under the source. In the dataset : surprise... the showcases tab remains completely empty. However, visualization assets linked to datasets via a custom call to action are supposed to be properly referenced there. 🛠️ The explanationIt all comes down to a visibility setting: an asset excluded from the catalog will not appear in usages, similar assets, or showcases.Why does it work this way? The main purpose of the exclusion toggle is precisely to prevent the asset from being "discoverable." If an asset is hidden from the main catalog, the platform automatically blocks its visibility across public dataset interconnections to respect t

Watch a selection of videos showcasing the platform’s key features, with the Demo Hub regularly updated.         👉 Explore the Demo Hub

 In the legacy version of the platform, it is possible to provide a simplified view of your datasets (by hiding or reordering fields).However, these adjustments are purely visual: hidden fields remain accessible via exports and APIs, which can lead to confusion.   📆 August 31: full deprecation of table view configurationThe table view configuration will be deprecated (whether you are using the legacy or the new platform experience). The table view will automatically reflect your dataset schema (same fields, same field order). As a result, explored, exported, and queried data will be fully consistent. ✅ 📆 June 23: switch to ‘read-only’ mode for the current configuration (intermediate step)You will no longer be able to edit it, but it will remain visible in your back office as a reference (the change will take full effect on August 31).👉 Preview of your back office on June 23, depending on your setup:Case #1 - you are on the legacy experience (or have only migrated your back office to

Bonjour à tous ! 👋La nouvelle expérience Huwise offre de nombreuses possibilités pour aider vos utilisateurs à visualiser et explorer vos données. Pour vous aider à choisir le bon outil selon vos besoins métiers, voici un état des lieux complet, du no-code à l'application custom, suivi de nos recommandations d'usage. 🗺️ La matrice des possibilités : du plus simple au plus avancéNiveau Fonctionnalité Ce que ça permet Qui s'en sert ? 1 : Automatique Aperçu d’un jeu de données (onglet Data/Schema/Map) et prochainement dans le nouvel “Explore” L’utilisateur génère un tableau, graphique ou une carte en totale autonomie depuis le jeu de donnée Data consumer 2 : Conversationnel Agent conversationnel Huwy L'utilisateur pose une question en langage naturel et obtient une visualisation personnalisée instantanée (textuelle uniquement à ce jour, bientôt des graphiques, cartes ou autres éléments visuels). Data consumer 3 : No-code, par asset Vue personnalisée Le producteu

Hello community! 👋The new Huwise experience offers many possibilities to help your users visualize and explore your data. To help you choose the right tool depending on your business needs, here is a complete overview—from no-code to custom applications—followed by our usage recommendations. 🗺️ The options matrix: from simplest to most advancedLevel Feature What it enables Who uses it? 1: Automatic Dataset preview (Data/Schema/Map tabs), and soon in the new “Explore” The user generates a table, chart, or map fully independently from the dataset Data consumer 2: Conversational Huwy conversational agent The user asks a question in natural language and gets an instant, tailored visualization Data consumer 3: No-code, per asset Custom view The data producer manually creates charts (bars, lines, pie…), maps, or KPI widgets attached to a dataset—customizable and embeddable on the asset page—to simplify access to the data asset Catalog curator / Data owner 4: No-

Depuis le passage à la nouvelle expérience du catalogue, plusieurs d’entre vous nous ont signalé qu’un clic sur une carte n’ouvre plus directement les données : il mène d’abord vers la vue d’ensemble de l’actif, ce qui ajoute un clic supplémentaire pour accéder à l’exploration.✅ Bonne nouvelle : vous pouvez retrouver un fonctionnement très proche en affichant un bouton d’objectif de conversion directement sur les cartes du catalogue.🛠️ Comment l’activerDans le backoffice, ouvrez Catalogue > Paramètres.Éditez la Page catalogue.Ouvrez le bloc Cartes du catalogue, puis l’onglet Contenu.Dans Bouton d’objectif de conversion, cliquez sur l’icône “œil barré” pour l’activer.Cela affiche un bouton Découvrir sur les cartes, ainsi que l’objectif de conversion défini pour chaque actif (par exemple “Explorer les données”).Publiez la page pour appliquer le changement sur votre catalogue.Résultat : vos utilisateurs peuvent à nouveau accéder aux données en un clic depuis le catalogue, sans avoir à