IBM SPSS Statistics vs SAP Predictive Analytics comparison

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Executive Summary

We performed a comparison between IBM SPSS Statistics and SAP Predictive Analytics based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: November 2022).
657,849 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "It's quite expensive, but they do a special deal for universities."
  • "The price of IBM SPSS Statistics could improve."
  • "SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
  • More IBM SPSS Statistics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:I've used SPSS for my doctoral research and in my work as an academic and consultant. It's useful for getting reliable insights into survey data and performing quantitative data analysis. SPSS does… more »
    Top Answer:SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools.
    Top Answer:SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced.
    Top Answer:I think the features of the actual ability to forecast and pull trends and correlations has been really good.
    Top Answer:I am not sure what the exact costs are, but I believe it is reasonable.
    Top Answer:We've looked at the ability of customer churn, propensity to develop customers and ideas of what makes the ideal customer. We are reaching out to try and predict from a database of what customers… more »
    Ranking
    5th
    Views
    4,788
    Comparisons
    3,193
    Reviews
    10
    Average Words per Review
    574
    Rating
    8.5
    25th
    Views
    726
    Comparisons
    598
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    SPSS Statistics
    SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
    Learn More
    Overview

    IBM SPSS Statistics is a cloud-based data analysis engine that can prove to be critical to business intelligence operations. It aims to take large caches of data and make them both useful and meaningful. Users in any field of business can use it to transform their raw data into information that they can easily leverage into solutions for any number of problems. IBM SPSS Statistics uses machine learning algorithms to mine and enrich the data that passes through it.

    IBM SPSS Statistics Benefits

    Some of the ways that organizations can benefit by deploying IBM SPSS Statistics include:

    • Ease of use. IBM SPSS Statistics is simple for users to manipulate and control. The user interface is intuitive and enables users to analyze data without requiring them to have a knowledge of coding.
    • Comprehensive. Instead of requiring users to invest in many different solutions to fulfill different statistics-related tasks, IBM SPSS Statistics enables users to do the work that ordinarily would require multiple solutions.
    • Automation. IBM SPSS Statistics enables users to automate the data analysis process. This means that users do not need to worry that they will miss anomalies or outliers in the data.

    IBM SPSS Statistics Features

    • Predictive analytics. IBM SPSS Statistics gives users the ability to employ machine learning in a way that can help them predict the future. Patterns in the data can be analyzed to see if they can provide them with clues as to how they should approach their future business strategies.
    • Collaboration. The solution offers tools that enable users who are on different teams or in different departments to work together on various aspects of the statistical analysis process.
    • Data discovery. This feature enables users to collect and evaluate their data. These evaluations aid them in finding trends and patterns in their data.
    • Data visualization. These tools enable users to represent their data in visual ways that are easy to understand.

    • Data preparation tools. These features enable organizations to prepare the data for analysis and other measures that will make it useful. One such feature is anomaly detection, which scans for unusual cases in the data.

    Reviews from Real Users

    IBM SPSS Statistics is a solution that stands out when compared to many of its competitors. Two major advantages it offers are the sheer number of functionalities that it puts at a user’s disposal and its user-friendly system interface.

    The director of systems management & MIS operations at a university writes, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it. It's a dashboard where they can get more information. And then, if they want to do a deeper dive into some things, they tell us, and we will work with the research department. We can either add or point to the field or fields and give them some more details.”

    Laurence M., a professor of health services research at a university, writes, “The most valuable feature of IBM SPSS Statistics is all the functionality it provides.”

    SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.

    Offer
    Learn more about IBM SPSS Statistics
    Learn more about SAP Predictive Analytics
    Sample Customers
    LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
    mBank
    Top Industries
    REVIEWERS
    University44%
    Financial Services Firm17%
    Aerospace/Defense Firm6%
    Non Profit6%
    VISITORS READING REVIEWS
    Comms Service Provider21%
    Educational Organization12%
    Computer Software Company10%
    University10%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider10%
    Energy/Utilities Company8%
    Wholesaler/Distributor6%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise20%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise15%
    Large Enterprise69%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise73%
    Buyer's Guide
    Data Science Platforms
    November 2022
    Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: November 2022.
    657,849 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 5th in Data Science Platforms with 10 reviews while SAP Predictive Analytics is ranked 25th in Data Science Platforms. IBM SPSS Statistics is rated 8.6, while SAP Predictive Analytics is rated 0.0. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, IBM SPSS Statistics is most compared with IBM SPSS Modeler, Alteryx, Weka, Microsoft Azure Machine Learning Studio and TIBCO Statistica, whereas SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM Watson Studio, Alteryx, Amazon SageMaker and KNIME.

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    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.