# SAS Viya Software Pricing, Alternatives & More 2026 | Capterra > With the help of Capterra, learn about SAS Viya Software - reviews, pricing plans, popular comparisons to other Business Intelligence products and more. Source: https://www.capterra.com/p/10004983/SAS-Viya/reviews --- # SAS Viya Software Review 2026: Features, Reviews, Integrations, Pros & Cons Last updated on March 13, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Integrations](#integrations)[Support](#support)[Reviews](#reviews) SAS Viya ## What is SAS Viya? SAS Viya is a cloud-native data and AI platform that streamlines analytics workflows from data management to model deployment. It connects to diverse data sources with built-in governance and lineage tracking, ensuring seamless access and auditability. Teams can prepare and transform data while maintaining transparency. The platform supports the model lifecycle with tools for automated machine learning, statistical modeling, and AI development. The SAS Viya Copilot offers intelligent assistance for data and AI tasks. Organizations can deploy models into workflows using business rules and real-time event detection. SAS Viya integrates with Python, R, Java, and REST APIs, supporting deployment on AWS, Azure, Google Cloud, or on-premises infrastructure. It fosters collaboration with governance ensuring compliance and oversight. ## What is SAS Viya used for? [Machine Learning](https://www.capterra.com/machine-learning-software/)[Predictive Analytics](https://www.capterra.com/predictive-analytics-software/)[Big Data](https://www.capterra.com/big-data-software/) Overall rating Based on 12 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Starting price Free trial available Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... ## SAS Viya alternatives Highest Rated [Tableau](https://www.capterra.com/p/208764/Tableau/) [4.6 (2,348)](https://www.capterra.com/p/208764/Tableau/reviews/) Starting price $15.00 Per User, Per Month [Learn More](https://www.capterra.com/p/208764/Tableau/) [4.3 (329)](https://www.capterra.com/p/119119/Domo/reviews/) Starting price Contact vendor for pricing [4.4 (360)](https://www.capterra.com/p/129749/Zoho-Analytics/reviews/) Starting price $30.00 Per User, Per Month [4.5 (258)](https://www.capterra.com/p/10005468/Logi-Symphony/reviews/) Starting price Contact vendor for pricing [View all alternatives](https://www.capterra.com/p/10004983/SAS-Viya/alternatives/) ## Features Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically. Data Visualization 4.6 (7) 100.00% of 7 reviewers that rated this feature as important or highly important Graphical representation of data Statistical Analysis 4.5 (4) 100.00% of 4 reviewers that rated this feature as important or highly important Apply statistical/mathematical models to sets of data Predictive Analytics 3.7 (3) 100.00% of 3 reviewers that rated this feature as important or highly important Predict future data based on historical data sets Statistical Simulation 4.3 (3) 100.00% of 3 reviewers that rated this feature as important or highly important Assess the performance of a method by picking a random sample from a normal distribution Ad hoc Reporting 3.0 (2) 100.00% of 2 reviewers that rated this feature as important or highly important Generate one-off reports that meet information requirements AI/Machine Learning 4.5 (2) 100.00% of 2 reviewers that rated this feature as important or highly important Software program that continuously adjusts its behavior based on observed data SAS Viya 98 features Define levels of authorization for access to specific files or systems Generate one-off reports that meet information requirements A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users Software program that continuously adjusts its behavior based on observed data Moving and separately storing data that is not actively used or continuous storage of data for compliance purposes Networks with interconnected neural units, including MLPs, CNNs, DNNs, RNNs, etc. Automatic reply functionality for incoming messages Automatically create schedules based on business needs or employee availability and qualifications Data is backed up automatically to prevent data loss Examine large amounts of data to uncover hidden patterns, correlations, and other insights Create budgets based on historical data and future projections Organize and group data or items based on various criteria AI-based platform which conducts a conversation via auditory or textual methods Provides a channel for team members to share media files, communicate, and work together Track and manage adherence to policies for any service, product, process, or supplier Configure existing workflows to meet your organization's needs A collection of customer information such as contact details, demographics, previous interactions, etc. Alter the layout and content of dashboards Pre-designed layouts that can be customized to match preferences and requirements Assembly of graphs and charts for visualizing and tracking statistics/metrics Analyze survey results via statistical testing or crosstabs directly within the software Merge data from multiple sources to a single data set Import, collect, and capture data from multiple sources An organized inventory of all data assets Grouping log entries based on similar attributes. Removes data that is incomplete, inaccurate, or irrelevant from a dataset Connect to big data sources Discover and connect variety of data sources to the application for analysis Automatically retrieve and pull information from documents, websites, images, data sets, and other sources Collection of processes, policies, and standards to manage the storage & usability of enterprise data Import and export data to and from software applications Combining data from different sources and providing a unified view Gives visibility to the origin, history, transformation and location of data Ability to handle large datasets Track the management and flow of data throughout the organization Move from one database to another, or upgrade the version of database software being used Conceptual model of how data items relate to each other Examines, analyzes, and organizes data to create relevant summaries or graphs. Establish guidelines about how much and what kind of data can be stored in the repository Ability to restore deleted, hidden, or lost data from an email server/system Protect sensitive data for digital privacy Manage and store data in a database Request from data subject to data controller to access, change or delete personal/sensitive information Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency Translate EDI formats into data suitable for use with company applications. Graphical representation of data Data vault where data is aggregated for later distribution to applications. Central repositories of integrated data from various sources Tools that provide relevant information at specific times to support judgments and courses of action Support tool that enables users to progress through a series of steps to solve a problem Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. Assemble applications and processes by dragging over and arranging pre-built components Process of extracting, transforming, and loading data Form predictions based on past and present data/trends Store, manage and track all forms in a centralized location Visualize locations on a map Process and analyze large volume of data Identify which applications need to exchange data and enable these data connections Quantifiable metrics to track objectives, gauge milestones, and evaluate the success of a particular activity Tracking the status of previously identified performance measurements Enable businesses to implement machine learning algorithms on business data such as sales and revenue Retrieval of embedded metadata that is present within a file Collect and maintain structured information that describes data or content Using physical, mathematical, or logical models as a basis for simulations to generate data for managerial or technical decision-making Observe and track the demand, usage, progress or quality of a system, product, or user Allows users to manage data from a number of sources Process and analyze human language in text or audio form A classification and/or predictive modeling technique used for data analysis A set of indicators that tracks the performance of networks, applications, systems, teams, etc. Predict future data based on historical data sets Analyzing historical and current data and generating a model to help predict future outcomes. Streamlining repetitive tasks and activities through automated and predefined workflows Ensure that quality requirements and standards are met across production processes Analyze and gain insights into data in real-time Receive data and information in real time Active monitoring of systems, applications, or networks Active reporting of data and metrics Receive system updates as soon as any changes are made Collection, analysis, and representation of numerical data and generation of reports to understand various patterns View and track pertinent metrics to find patterns and gain insights from data Set a time to generate routine reports automatically Search and filter data across systems to locate required information by entering keywords or certain criteria Securely stores data to prevent data loss or breaches Access, combine, transform, and store data without the help of an IT department Generate reports on your own without IT involvement Categorize emotions expressed in written text or images and identify if they are positive, negative or neutral Display aggregated data points on one page for a bird's eye view assessment Apply statistical/mathematical models to sets of data Assess the performance of a method by picking a random sample from a normal distribution Attach digital tags to documents and assets for identification, search, or monitoring purposes Sample files or documents that could be customized as needed or used as is Process of extracting and classifying information from text, such as tweets, emails, product reviews, etc Addition of necessary external data, applications, tools, or features Set up connections to third-party platforms to improve business processes Interact with data visualization elements, such as charts and graphs, to drill down into data Process of visually navigating data and applying analytics to detect patterns, gain insight, and answer specific business queries. Graphical representation of data or processes Create, design and manage workflows for repetitive tasks Get Advice We can help you find the software with the features you need. Features 4.4 (12) 4.4 Based on 12 reviews ## Pricing Value for money 3.7 (9) ### Starting price Free trial available Value for money 3.7 (9) 3.7 Based on 9 reviews ## Integrations [ Google Drive](https://www.capterra.com/p/161425/Drive/)[ Microsoft PowerPoint](https://www.capterra.com/p/141633/PowerPoint/)[ Microsoft Excel](https://www.capterra.com/p/176574/Excel/)[ OneDrive](https://www.capterra.com/p/161304/OneDrive/)[ Microsoft Teams](https://www.capterra.com/p/168668/Microsoft-Teams/)[ Google Analytics 360](https://www.capterra.com/p/177042/Google-Analytics/)[ Microsoft Word](https://www.capterra.com/p/227146/Microsoft-Word/)[ Microsoft Outlook](https://www.capterra.com/p/227138/Microsoft-Outlook/) Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 3.9 (9) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 3.9 (9) 3.9 Based on 9 reviews ## User reviews Overall rating 4.4 Based on 12 reviews Filter by rating 5(7) 4(4) 3(0) 2(1) 1(0) Mentioned topic Sorted by most recent EP Elena P. Assoc. Prof. Higher Education ### "Behind the Dashboard: What It’s Really Like Using SAS Viya" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 September 3, 2025 Despite the analytical power and enterprise readiness, SAS Viya may not be the best fit for small teams or those just starting out with data science. Esp that I have tried to attract students in a Machine Learning course that are used to code in Python. But I shall continue to try :-) Pros It has faster AI model training; It combines business rules, event detection, and analytics to act fast; Teams can work together across roles and tools. Cons Students mention restrictions or difficulty accessing specific features or datasets within the platform; Interface inconsistencies: While generally intuitive, some parts of the UI feel less polished or require more clicks than necessary. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AS ANDREEA S. CONSULTANT Government Administration ### "SAS Viya Review- HEALTHCARE" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 10/10 September 1, 2025 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. Pros 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. Cons 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. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AG Anuj G. Lead Statistical Programmer Hospital & Health Care ### "Feedback\_SAS Viya" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 August 26, 2025 Overall good to combination of AI and ML with high performance engine, support for both visual and programming-based analysis. Pros Advanced Data Visualization techniques and analysis activities. Additionally, open-source tools access like Python and R. Cons Cost of licenses and limited for web activities. Also, dependence with the speed of internet and concurrent users. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AO Audifax O. Compliance Banking ### "Support is poor " 2.0 Overall Rating 2.0 2.0 Ease of Use 3.0 3.0 Features 3.0 3.0 Customer Service 1.0 1.0 Likelihood to Recommend 0/10 August 25, 2025 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. Pros 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. Cons 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. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Pushpender K. SAS VA Developer Information Technology and Services ### "SAS Viya Review" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 August 21, 2025 Pros SAS Viya’s biggest strength is its flexibility and scalability. I like that it brings advanced analytics, AI, and machine learning together on a single cloud-native platform, making it easy to handle both small-scale and enterprise-level workloads. The integration with multiple programming languages (Python, R, SQL, SAS) is very powerful, allowing collaboration across different skill sets in the team. Its intuitive visual interface in SAS Visual Analytics also makes it simple for business users to explore data and generate insights without needing deep technical expertise. Overall, the combination of performance, openness, and user-friendly resign is what I value most Cons The learning curve can be a bit steep for new users, especially those without prior SAS experience. While the platform is very powerful, some advanced configurations and administrative tasks require technical expertise. In addition, the cost of licensing can be on the higher side compared to some open-source alternatives. At times, performance may depend heavily on cloud infrastructure setup, which means careful planning is needed to optimize resources. Overall, these challenges are relatively minor when weighed against the benefits, but they are worth noting. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AU Anonymous User Programme Manager Government Administration ### "SAS Viya review" 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 August 20, 2025 We were well supported by local and global SAS support team. The SAS support team is very helpful and friendly. Pros Very powerful data processing to process millions of lines of data, professional support from local SAS staff Cons lack of skilful professionals available in the market. SAS Viya training became a real challenge for the team. Switched from [Excel Analyzer](https://www.capterra.com/p/170910/ExcelAnalyzer/) We need to process big data for analysis Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Sai Bharath M. risk analyst Financial Services ### "SAS Viya: Analyst review" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 August 19, 2025 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. Pros Unified analytics/ML platform with strong governance, ModelOps, and easy deployment. Great performance at scale; solid integration with Python/R and visual pipelines. Cons 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. Switched from [SAS Enterprise Guide](https://www.capterra.com/p/253110/SAS-Enterprise-Guide/) Business decision to switch to integrate other sas apps Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. EP Elena P. Principal Management Consulting ### "Tool di analisi dati con integrazione semplice " 4.0 Overall Rating 4.0 4.0 Ease of Use 3.0 3.0 Features 5.0 5.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 October 9, 2023 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. Pros 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. Cons 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. Alternatives considered [Vertex AI](https://www.capterra.com/p/233122/Vertex-AI/) [Microsoft Azure](https://www.capterra.com/p/16365/Azure/) [IBM SPSS Statistics](https://www.capterra.com/p/250819/IBM-SPSS-Statistics/) Reasons for choosing SAS Viya SAS Viya, nonostante abbia un prezzo meno competitivo, offre possibilità d’analisi avanzate, semplificate senza l’uso di codice, che non offrono le altre piattaforme. Inoltre, nella mia esperienza ho notato che i software SAS sono semplici da integrare e da installare. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. PD Pietro D. Data Scientist Human Resources ### "Il machine learning semplice " 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 8/10 September 19, 2023 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. Pros 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 Cons 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. Switched from [SAS Enterprise Guide](https://www.capterra.com/p/253110/SAS-Enterprise-Guide/) La necessità di sviluppare modelli di machine learning complessi ha fatto che si che ci spostassimo verso SAS Viya, sicuramente più indicato e performante per questo scopo Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. DB Donata B. Biostatistician Medical Practice ### "Utile strumento in campo Biostatistico" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 3.0 3.0 Customer Service 0.0 0.0 Likelihood to Recommend 7/10 September 10, 2023 Utilizzo principalmente SAS Viya per analizzare i dati degli studi clinici condotti in ambito farmaceutico. L'uso delle macro SAS mi ha permesso di produrre molto di più in meno tempo, migliorando la mia capacità di individuare elementi importati negli studi, che potrebbero portare a cambiare il prodotto testato oppure a definire il successo. capacitò di rispondere alle domande della ricerca emergenti e contribuire Pros SAS Viya è uno strumento molto utilizzato nella biostatistica. Offre molte funzioni utili, che ben si adattano alle esigenze di un biostatista e che ho trovato solo su questo tipo di software. Nell’ambito farmaceutico le sue funzioni avanzate di analisi di sopravvivenza e gli strumenti per la gestione di dati longitudinali mi hanno permesso di affrontare ricerche complesse con maggiore efficenza.Inoltre il modulo di machine learning è semplice da utilizzare Cons Alcune volte il software sembra ancora in fase di sviluppo, con frequenti crash durante l’utilizzo ed una lentezza generalizzata. I modelli di machine learning disponibili automaticamente sono troppo semplici.Per avere un esperienza migliore gradirei maggiore stabilità e un ampliamento delle funzionalità di machine learning, in particolare l'aggiunta di algoritmi più sofisticati. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. GB Gabriele B. Manager Management Consulting ### "Sas Viya, ottimo strumento per il machine learning " 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 3.0 3.0 Likelihood to Recommend 9/10 August 3, 2023 SAS Viya è stato da me utilizzato per creare modelli di machine learning in grado di prevedere, in base alla cronologia di acquisto passata di un cliente, la probabilità che lo stesso cliente acquisti un’altro specifico prodotto. I dati utilizzati per questi modelli provengono da diversi fonti e spesso necessitano di essere puliti prima di essere elaborati. SAS Viya è stato utile in tale processo grazie alle sua funzioni di data wrangling. I dati puliti sono inseriti in processo di AutoML che consente di definire un modello altamente performante. Tali modelli, una volta spostati in produzione, sono utilizzati a supporto dell’ufficio marketing, il quale andrà a fare campagne mirati su specifici clienti e specifici profitti con elevata probabilità di acquisto. Pros Le funzionalità, a mia avviso, più importanti di SAS Viya sono i molteplici strumenti di visualizzazione di dati e l’ampia gamma di algoritmi di machine learning disponibili. I primi consento un esplorazione significativa dei dati, con visualizzazioni chiare, in grafici o mappe di sintesi, che possono essere condivisi con altri team. I secondi, tra quali possiamo annoiare algoritmi con apprendimento supervisionato e non, generarono modelli predittivi accurati e robusti, i quali possono essere testati in vari scenari e migliorati nel tempo manipolando i metadati. SAS Viya ha inoltre il supporto al AutoMl, il machine learning automatizzato, che semplifica la costruzione dei modelli e consente all’utente di focalizzarsi sull’interpretazione dei risultati ed il miglioramento delle performance. Cons L’aspetto da migliorare di SAS Viya è il processo di passaggio di un modello da un ambiente di sviluppo ad uno di produzione. Il processo di deployment richiede una buona dose di lavoro manuale, non è ancora totalmente automatico e blocca un team di sviluppatori per diversi giorni, con un costo non indifferente per l’azienda. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. LF Loredana F. Analyst Management Consulting ### "Grandi volumi di dati ed intelligenza artificiale " 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 9/10 June 21, 2023 Ho utilizzato Sas Viya presso società clienti di notevoli dimensioni che avevano la necessità di sviluppare modelli predittivo da grandi moli di dati non struttutati. L'uso di Sas viya ha consentito di mantenere il processo di stima all'interno di un unica piattaforma e di sfruttare la potenza degli algoritmi di macchine leasing per trovare una correlazione tra la variabile target, dal predire, ed alcune delle informazioni non strutturate disponibili. Il macchine lerning, inoltre, in particolare le support vector machine sono state utili per ottenere modelli con elevati livelli di accuratezza. Pros Sas Viya è un software di analisi dei dati, particolarmente adatto ad aziende che hanno necessità di elaborarne grandi volumi, che integra intelligenza artificiale e algoritmi di apprendimento automatico. Il software include un ambiente di data wrangling (Sas Data Preparation) e consente, anche, di eseguire analisi statistiche classiche (come anova, regressioni). È possibile utilizzare Sas Viya anche pee visualizzare i dati in grafici interattivi e dashboard persobalizzate, facilmente condivisibili. Notevole la capacità di sviluppare modelli preditfivi ed apprezzabile la possibilità, per gli utenti meno esperti di ytikizzare un interfaccia guidata e modelli di analisi predefiniti. Cons Sas Viya potrebbe migliorare nel processo di integrazione con soluzioni di terze parti, poche volte possibile e sempre di complessa configurazione e nella personalizzazione delle analisi visive. 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