Best Data Visualization Software for SAS Viya

Find and compare the best Data Visualization software for SAS Viya in 2025

Use the comparison tool below to compare the top Data Visualization software for SAS Viya on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    JMP Statistical Software Reviews

    JMP Statistical Software

    JMP Statistical Software

    $1500.00/year/user
    1 Rating
    JMP, data analysis software Mac and Windows, combines powerful statistics with interactive visualization. It is simple to import and process data. Drag-and-drop interface, dynamically linked graphics, libraries of advanced analytics functionality, scripting language, and ways to share findings with others allow users to dig deeper into their data with greater ease. JMP was originally developed in 1980 to capture the new value of GUI for personal computers. JMP continues to add cutting-edge statistical methods to the software's functionality with every release. John Sall, the organization's founder, is still Chief Architect.
  • 2
    SAS Visual Machine Learning Reviews
    Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.
  • 3
    SAS Visual Data Science Reviews
    Access, analyze, and manipulate data to uncover emerging trends and patterns effectively. SAS Visual Data Science provides a unified, self-service platform that enables the creation and sharing of intelligent visualizations alongside interactive reports. Leveraging machine learning, text analytics, and econometric techniques enhances forecasting and optimization capabilities, while also allowing for the management and registration of both SAS and open-source models, whether within projects or as independent entities. Utilize this tool to visualize and identify pertinent relationships within your data. Generate and disseminate interactive reports and dashboards, employing self-service analytics to promptly evaluate potential outcomes for more informed, data-driven decisions. Dive into data exploration and construct or modify predictive analytical models using this solution integrated with SAS® Viya®. By fostering collaboration among data scientists, statisticians, and analysts, teams can iteratively refine models tailored to specific segments or groups, thereby empowering decisions rooted in precise insights. This collaborative approach not only enhances model accuracy but also accelerates the decision-making process significantly.
  • 4
    SAS Analytics Pro Reviews
    Introducing a user-friendly yet robust suite designed for accessing, manipulating, analyzing, and showcasing data, now offered for both cloud-based and on-premises solutions. Why struggle with disparate software tools from various providers? A unified collection that features three of our most sought-after products—Base SAS, SAS/STAT, and SAS/GRAPH—minimizes expenses related to licensing, maintenance, training, and support, all while ensuring uniform access to information throughout your organization. Our SAS statistical methods are regularly updated to incorporate the latest developments in statistical science. Additionally, our technical support team consists of seasoned statisticians with master's and doctorate degrees, providing a level of expertise and service that is rare among software vendors. With over forty years of experience in crafting statistical analysis tools, SAS continues to be the trusted choice for organizations globally seeking reliable solutions for their data inquiries. This commitment to excellence ensures that you are well-equipped to make informed decisions based on accurate data insights.
  • 5
    SAS Visual Analytics Reviews
    A user-friendly, low-code visual platform allows for the creation and deployment of personalized chatbots that understand natural language. You can obtain text-based responses, retrieve data, generate reports and visualizations, and utilize analytics and AI through a conversational interface that feels intuitive. Within the SAS ecosystem, you can easily configure bots to enhance insight accessibility or link them to external services for broader outreach. Now, gaining insights from data is as straightforward as sending a simple message. Quickly identify significant relationships in your data with the help of smart suggestions and clearly marked related metrics. Leverage machine learning and natural language explanations to discover, visualize, and communicate compelling narratives and insights that are both accessible and easy to interpret. Investigate the reasons behind certain outcomes, explore all possibilities, and uncover hidden opportunities within your data. The system automatically highlights essential relationships, outliers, clusters, and more, unveiling crucial insights that can drive informed action and decision-making. This innovative approach empowers users to navigate complex data landscapes with confidence and clarity.
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