SAS Data management Reviews - Pros & Cons, Ratings & more - 2025
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SAS Data management
67%
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    • SAS Data management

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    67%

    SAS Data Management is an integrated data integration and quality tool designed to access, transform, and govern data from various sources, including big data systems. It enables efficient handling of complex datasets, ensuring data consistency and accuracy for decision-making. Known for its powerful capabilities, it supports tasks like statistical analysis and visualization, streamlining workflows and improving productivity.

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    Subscribed Reviews

    67% Subscribed Score

    Analysis

    SAS Data Management provides integrated tools for data integration, transformation, and governance, ideal for analysts and large institutions managing complex datasets. Key features include scalability, advanced analytics, and connectivity across multiple data sources, but a steep learning curve may deter beginners. Compared to tools like Snowflake and Google BigQuery, SAS excels in flexibility and comprehensive support but is costlier and less approachable for non-tech users. Customer support is highly rated, enhancing its value despite the premium pricing. Best for enterprises needing in-depth data analysis.

    Subscribed Score Metrics
    24/36 Metric achieved
    Ease of Use
    Measures how simple and intuitive the product is to use, including setup, navigation, and overall user experience
    4/6 Metric Checks
    Security
    Compares the product’s features, quality, and pricing to determine its overall cost-effectiveness.
    5/6 Metric Checks
    Value of Money
    Assesses the product’s ability to protect data, prevent breaches, and comply with industry standards.
    3/6 Metric Checks
    Customer Support
    Reflects the responsiveness, helpfulness, and quality of assistance provided by the product’s support team.
    5/6 Metric Checks
    Integrations
    Evaluates how well the product connects with other tools and platforms, enabling seamless workflows.
    3/6 Metric Checks
    MetricsScore
    Customer Support5/6
    Security5/6
    Ease of Use4/6
    Value of Money3/6
    Integration3/6
    Popularity4/6
    Radar Chart Table View
    Pros & Cons
    Handles large datasets effectively.
    Robust statistical and analytical tools.
    Integration with multiple data sources.
    Highly customizable for complex analyses.
    Steep learning curve for beginners.
    High cost compared to alternatives.
    Debugging and error messages can be difficult.
    Visualization capabilities are limited.

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