--- description: SAS Viya : qu'en pensent les utilisateurs ? Lisez les avis clients sur SAS Viya, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: SAS Viya - Avis, notes, prix et abonnements - Capterra Luxembourg 2026 --- Breadcrumb: [Accueil](/) > [Gestion des données](/directory/31003/data-management/software) > [SAS Viya](/software/1043140/sas-viya) # SAS Viya Canonical: https://www.capterra.lu/software/1043140/sas-viya Page : 1/2\ Suivant: [Page suivante](https://www.capterra.lu/software/1043140/sas-viya?page=2) > SAS Viya est une plateforme analytique entièrement intégrée qui inclut le machine learning et le deep learning, ainsi que le déploiement de la modélisation de données. > > Conclusion : 12 utilisateurs lui ont donné la note de **4.4/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Présentation ### Qui utilise SAS Viya ? SAS propose des solutions complètes pour tous les besoins en matière de données et d'analyse et pour tous les cas d'utilisation. Choisissez l'offre qui répond à vos besoins actuels, offrant des perspectives d'avenir dans un environnement unique et évolutif. ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.4/5** | 12 Avis | | Simplicité | 4.1/5 | D'après l'ensemble des avis | | Support client | 3.9/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 3.7/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.4/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: SAS Institute - **Fondé**: 1976 ## Contexte commercial - **Type de licence**: (Essai gratuit) - **Public cible**: 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+ - **Déploiement et plateformes**: Cloud, SaaS, web, Mac (ordinateur), Windows (ordinateur), Linux (ordinateur), Windows (sur site), Linux (sur site), Chromebook (ordinateur) - **Langues**: allemand, anglais, arabe, chinois, chinois traditionnel, coréen, croate, danois, espagnol, finnois, français, grec, hindi, hongrois, hébreu, indonésien, italien, japonais, kazakh, norvégien, néerlandais, polonais, portugais, portugais brésilien, portugais européen, roumain, russe, slovaque, slovène, suédois, tchèque, thaï, turc, vietnamien - **Pays disponibles**: Afrique du Sud, Albanie, Algérie, Allemagne, Angola, Anguilla, Antigua-et-Barbuda, Arabie saoudite, Argentine, Aruba, Australie, Autriche, Bahamas, Bahreïn, Barbade, Belgique, Bosnie-Herzégovine, Botswana, Brésil, Burkina Faso et 107 de plus ## Fonctionnalités - Analyse de texte - Analyse en libre-service - Analyse prédictive - Analyse visuelle - Analytique Big Data - Artificial Neural Networks - Base de données de clients - Connecteurs de données - Contrôles/Permissions d'accès - Data Lineage - Data Subject Requests (DSR/DSAR) - Data discovery - Découverte en images - ETL (Extract Transform Load) - Entreposage de données - Fonction de glisser-déposer - Gestion de la conformité - Gestion des données - Gestion des flux de travail - Gestion des formulaires - Gestion des métadonnées - Gouvernance de données - Intelligence artificielle et machine learning - Intégration de données - Logiciels de chatbots - Mappage de données - Mesure des performances - Modèles personnalisables - Modélisation prédictive - Nettoyage de données - Outils d'analyse de données - Outils de collaboration - Préparation des données en libre-service - Prévision - Rapports ad hoc - Rapports et analyses - Rapports et statistiques - Real-Time Data - Real-Time Reporting - Recherche/Filtre - Réponses automatisées - Saisie et transfert de données - Scheduled/Automated Reports - Simulation statistique - Sources de données multiples - Tableau de bord - Tableau de bord personnalisable - Traitement automatique du langage naturel - Traitement des gros volumes - Visualisation de données ... et 19 fonctionnalités supplémentaires ## Intégrations (39 au total) - Amazon EKS - Amazon Redshift - Amazon S3 - Amazon SageMaker - Anaconda - ArcGIS - Azure Machine Learning - Azure Synapse Analytics - Cloudera Enterprise - Databricks - Facebook Business Suite - Google Analytics 360 - Google Cloud - Google Cloud BigQuery - Google Drive ... et 24 intégrations supplémentaires ## Ressources d'aide - Service client/e-mail - FAQ/forums - Base de connaissances - Support téléphonique - Support 24/7 (réponse directe) - Chat ## Category - [Gestion des données](https://www.capterra.lu/directory/31003/data-management/software) ## Catégories connexes - [Gestion des données](https://www.capterra.lu/directory/31003/data-management/software) - [MDM (master data management)](https://www.capterra.lu/directory/31019/master-data-management/software) - [Analyse statistique](https://www.capterra.lu/directory/30752/statistical-analysis/software) - [Machine learning](https://www.capterra.lu/directory/31103/machine-learning/software) - [Outils de chat avec IA](https://www.capterra.lu/directory/31596/conversational-ai-platform/software) ## Logiciels similaires 1. [Tableau](https://www.capterra.lu/software/77260/tableau) — 4.6/5 (2348 reviews) 2. [Domo](https://www.capterra.lu/software/119119/domo) — 4.3/5 (329 reviews) 3. [Zoho Analytics](https://www.capterra.lu/software/129749/zoho-analytics) — 4.4/5 (360 reviews) 4. [Stata](https://www.capterra.lu/software/119880/stata) — 4.5/5 (183 reviews) 5. [Alteryx Designer](https://www.capterra.lu/software/145696/alteryx-designer) — 4.8/5 (101 reviews) ## Avis ### "SAS Viya: Analyst review" — 5.0/5 > **Sai Bharath** | *19 août 2025* | Services financiers | Taux de recommandation : 8.0/10 > > **Avantages**: Unified analytics/ML platform with strong governance, ModelOps, and easy deployment. Great performance at scale; solid integration with Python/R and visual pipelines. > > **Inconvénients**: Steep learning curve and some UI quirks. Licensing/cost can be high for smaller teams. Migration from legacy SAS/other stacks can be complex and time-consuming. > > A great enterprise-grade platform that streamlines the ML lifecycle from data prep to production. Once past the learning curve, it’s fast, reliable, and well-suited to regulated environments. ----- ### "Tool di analisi dati con integrazione semplice" — 4.0/5 > **Elena** | *9 octobre 2023* | Conseil en gestion | Taux de recommandation : 9.0/10 > > **Avantages**: Il migliore aspetto di SAS Viya è che si configura come un ambiente di sviluppo integrato in cui è possibile utilizzare tantissimi strumenti per definire il flusso di dati delle proprie analisi. Essendo una piattaforma cloud è facile integrare soluzioni diverse nel rispetto delle esigenze aziendali. Le attività, Inoltre, sono semplici da eseguire in quanto è sufficiente identificare i pulsanti che permettono di effettuare determinare tipo di operazioni evitando di utilizzare codici complessi. > > **Inconvénients**: La caratteristica che meno mi soddisfa di SAS Viya è la sua limitata capacità di personalizzazione. A seconda del problema o delle esigenze aziendali, alcuni strumenti analitici potrebbero non avere le proprietà di personalizzazione necessarie con impostazioni standard che non rispettano sempre le esigenze. Inoltre, alcuni errori e bug sono difficili da risolvere perché la documentazione non li copre e i log/messaggi di errore non forniscono informazioni sufficientemente chiare. > > Ho usato SAS Viya in vari progetto, convincendo inoltre molte aziende clienti ad adottarlo per l’analisi dei big data. Il suo processo di integrazione con i sistemi aziendali e semplice, come il sistema di installazione ed i benefici che ne derivano dall’uso di un software di analisi così potente sono molti. In un progetto un particolare con SAS Viya ho sviluppato un tool in grado di rilevare frodi. Il modulo usato SAS Visual Investigator e SAS Visual Text Analytics, con quest’ultimo che effetto l’estrazione di testo dei documenti. ----- ### "Support is poor" — 2.0/5 > **Audifax** | *25 août 2025* | Banque | Taux de recommandation : 0.0/10 > > **Avantages**: Nothing. I have been implementing SAS for the past 3 years with no end in sight. The level of bureaucracy is annoying. Sales and customer management is poor. > > **Inconvénients**: Account management is terrible. Billing me for license while implementation is ongoing is very unethical. Pulling out your implementation team from site as a result of purported licence expiry in the middle of a project indicates lack of coordination. > > If i have my way, i will reverse the contract and opt for another tool. Your solution might be the best in the world, but your implementation and customer support approach is nothing to write home about. ----- ### "Il machine learning semplice" — 5.0/5 > **Pietro** | *19 septembre 2023* | Ressources humaines | Taux de recommandation : 8.0/10 > > **Avantages**: Mi piacciono diverse cose di SAS Viya:1. È uno strumento che non richiede competenze pregresse di coding: con il trascinamento si può fare di tutto 2. Accelera il processe di costruzione del modello. E’ sufficiente trovare le corrette funzioni statistiche per inserirle trascinandole nella work area e aggiungerle al modello3. C’è il supporto per gli ipynb notebook, per chi preferisce scrivere in Python per il machine learning 4. Può essere usato per costruire cruscotti di business intelligence e creare reportistica5. Supporta il calcolo parallelo quindi risulta molto veloce > > **Inconvénients**: Non ho riscontrato svantaggi nell'utilizzo di SAS Viya, ma apprezzerei se i costi di questo software fossero accessibili per un pubblico più vasto. Molte aziende faticano a sostenere i costi della licenza e si spostano verso opzione open source. > > Semplifica lo sviluppo di modelli di ML. Utilizzando SAS Viya non mi devo più preoccupare di scrivere codice per il ML, ma posso concentrarmi su quale modello utilizzate, come gestire la fase di elaborazione e come ottimizzare il modello. Mi concentro maggiormente sul problema principale e non sul codice, grazie alle funzioni di trascinamento, e risparmio molto tempo sviluppando modelli migliori. ----- ### "SAS Viya Review- HEALTHCARE" — 5.0/5 > **ANDREEA** | *1 septembre 2025* | Administration publique | Taux de recommandation : 10.0/10 > > **Avantages**: As a beginner to SAS products, I've been using SAS Viya primarily for data analysis and reporting over the past year. Coming from Excel experience, I was looking for a comprehensive platform that could handle both basic analytics and more advanced reporting needs. Ease of Use and User Interface The modern, web-based interface is intuitive and well-designed. As someone new to SAS, I appreciated the visual approach to building analyses and reports. The drag-and-drop functionality makes it accessible even for beginners, though there's still a learning curve for more advanced features. Data Management Capabilities SAS Viya handles data integration and preparation quite well. I was impressed by its ability to work with multiple data sources and formats. The data preparation tools are visual and help you understand what's happening to your data at each step. Report Generation Features The reporting capabilities are robust and flexible. I particularly liked interactive dashboards, automated report scheduling, visualization options. The ability to create both simple reports and more complex analytical outputs from the same platform is valuable. > > **Inconvénients**: Database Mapping Challenges I encountered significant difficulties with mapping data from hospital database systems and EHR platforms. The process required more manual configuration than expected, particularly when dealing with complex medical database schemas and standardizing different data formats from various clinical systems. Information Schema Catalog \& Asset Discovery While SAS Viya has asset discovery capabilities, I would have liked more advanced features specifically for healthcare data cataloging. The Discover Assets functionality could better handle medical data taxonomy and clinical terminologies (ICD-10, SNOMED, etc.). For medical reporting, having better automated discovery of clinical data relationships would be invaluable. Medical Data Complexity The learning curve was steeper when working with complex medical datasets that include protected health information (PHI). Better guidance for healthcare-specific data governance and mapping clinical data hierarchies would be helpful for medical professionals new to analytics platforms. > > For a beginner in healthcare analytics, SAS Viya provides a solid foundation with the security and compliance features needed in medical environments. While there's definitely a learning curve, especially with medical data complexity, the platform offers the depth needed for both current clinical reporting and future healthcare analytics initiatives. ----- Page : 1/2\ Suivant: [Page suivante](https://www.capterra.lu/software/1043140/sas-viya?page=2) ## Liens - [Afficher sur Capterra](https://www.capterra.lu/software/1043140/sas-viya) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | pt | | | pt-PT | | ----- ## Données structurées