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    IBM SPSS Statistics

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    IBM SPSS Statistics enables clients to solve business and research problems more easily, through adhoc analysis, hypothesis testing, and predictive analytics. By digging deeper into data, clients can discover and analyze information to improve decisions thereby ultimately expanding markets, improving research outcomes, ensuring regulatory compliance, managing risk, and maximizing ROI to name a few.

    Overview

    IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions. Targets both individuals and organizations spanning across Retail / CPG /E-Commerce, Healthcare, Government , Wholesale Distribution and Services etc. who seek an advanced statistical solution that can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Note: This page is for a software product and not a SaaS offering.

    Highlights

    • Advanced Statistical Procedures: SPSS Statistics provides a wide range of univariate and multivariate analysis tools, enabling users to perform deep and comprehensive data analysis. This supports smarter decision-making, reduces uncertainty, and improves operational efficiency.
    • Predictive Analytics and Forecasting: By applying various statistical techniques,SPSS Statistics helps forecast future trends and behaviors.This allows organizations to anticipate market changes and customer needs, giving them a strategic edge.
    • Integration with Open-Source Tools: SPSS Statistics integrates smoothly with open-source platforms like R and Python, allowing users to enhance their analyses with custom code. This combination offers the flexibility of open-source programming with the ease of application interface.

    Details

    Delivery method

    Deployed on AWS

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    Features and programs

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    Pricing

    IBM SPSS Statistics

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (2)

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    Dimension
    Description
    Cost/12 months
    Base Edition
    Analyze data with ease using stats, regression or advanced methods like bivariate, factor and cluser analysis with automation.
    $1,188.00
    Base plus Custom Tables and Advanced Statistics
    Create interactive tables exportable to Excel/ PDF and perform complex analyses like GLMs, mixed models, and 2SLS regression together with base functionalities
    $2,136.00

    Vendor refund policy

    You can turn off auto-renewal for your SPSS Subscription at any time prior to the end of your current billing cycle (monthly or annual). You will continue to have access to your subscription through the end of the billing cycle. No refunds or credits will be issued for any unused portion of the subscription period

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    On the IBM SPSS Statistics Support page, you will find support information related to downloading software, opening support tickets, and much more. IBM SPSS Statistics Support Page :

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Customer reviews

    Ratings and reviews

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    883 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Consulting

    Great stats tool!

    Reviewed on Oct 08, 2025
    Review provided by G2
    What do you like best about the product?
    Powerful statistical tool to assist with data analysis and projections.
    What do you dislike about the product?
    I dislike that it's Only usable with offline data.
    What problems is the product solving and how is that benefiting you?
    Understanding my data and gaining insights from it
    Aman J.

    SPSS pros and cons

    Reviewed on Oct 04, 2025
    Review provided by G2
    What do you like best about the product?
    I use it mostly for the running data and running regression , its a fast tool for all these tasks.
    What do you dislike about the product?
    No Ai support and complex old UI , new learner may find it outdated and complicated to learn
    What problems is the product solving and how is that benefiting you?
    It help me make sense of the raw data we get from our survey and mostly for regression, correlation etc.
    Cathal C.

    An essential companion to analysing quantitative data

    Reviewed on Oct 03, 2025
    Review provided by G2
    What do you like best about the product?
    I used IBM SPSS Statistics to help with the analysis of survey data during my PhD research. I found it easy to navigate and the analysis led to strengthening the results section of my PhD thesis. I consider the customer support to have been of a particularly high standard.
    What do you dislike about the product?
    I had no dislikes of this IBM package. Like every software package, a certain amount of orientation is required to fully utilise what the product can offer.
    What problems is the product solving and how is that benefiting you?
    The package was directly helping with the statistical analysis of survey data gathered from stakeholders (n=92) during the quantitative stage of my PhD research.
    Consulting

    Using IBM SPSS -My Honest Experience and Thoughts

    Reviewed on Oct 02, 2025
    Review provided by G2
    What do you like best about the product?
    I really like how easy it is to run complex analyses without feeling lost. Even simple things, like running a regression or making charts, are straightforward. The outputs are clear, and the graphs look professional, which is a huge time saver. Plus, if you want, you can use the syntax to automate tasks makes life a lot easier.
    What do you dislike about the product?
    The biggest downside for me is that it can feel a bit slow, especially with really large datasets. Sometimes simple operations take longer than I expect. Also, the interface looks a bit outdated compared to newer tools—it works fine, but it doesn’t feel modern or sleek.
    What problems is the product solving and how is that benefiting you?
    I was working on a project analyzing air quality data from Delhi. The dataset had thousands of daily readings for PM2.5, PM10, and other pollutants across multiple locations. Before SPSS, organizing and analyzing this much data would have taken forever. With SPSS, I could run correlations, trends, and regressions quickly to see how pollution levels changed over time and across areas.

    It also helped me visualize the results clearly. I was able to generate charts showing pollution peaks during winter and compare them across neighborhoods, which made my report much easier to understand. Using SPSS saved me hours and gave me accurate, professional-looking outputs that I could confidently share with stakeholders.
    Mohammed R.

    Comprehensive Tool for Statistical Analysis and Data Insights

    Reviewed on Sep 26, 2025
    Review provided by G2
    What do you like best about the product?
    What I appreciate most about IBM SPSS Statistics is its capacity to manage complex statistical analyses effortlessly. The software offers a comprehensive selection of analytical techniques, ranging from simple descriptive statistics to more advanced predictive modeling, all accessible through an intuitive interface. Its drag-and-drop features, along with clear output tables and charts, make interpreting data and presenting insights much more straightforward. Additionally, SPSS integrates effectively with large datasets, which helps maintain accuracy and efficiency in both research and business decision-making.
    What do you dislike about the product?
    The main drawback of IBM SPSS Statistics is its high cost, which makes it less accessible for individuals and small organizations. The interface, while user-friendly, can feel outdated compared to modern analytics tools. Additionally, running very large datasets may sometimes slow down performance, and customization through scripting requires more technical expertise.
    What problems is the product solving and how is that benefiting you?
    IBM SPSS Statistics helps in simplifying complex data analysis by providing reliable statistical techniques and predictive modeling tools. It solves the problem of manually handling large datasets and ensures accuracy in results. The software also makes it easier to visualize findings through clear tables and charts, which benefits me by saving time, improving decision-making, and enhancing the quality of research insights.
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