IBM SPSS Statistics vs IBM Watson Explorer comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM SPSS Statistics and IBM Watson Explorer based on real PeerSpot user reviews.

Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining.
To learn more, read our detailed Data Mining Report (Updated: November 2022).
653,522 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:
Pros
"SPSS is quite robust and quicker in terms of providing you the output.""The features that I have found most valuable are the Bayesian statistics and descriptive statistics.""The most valuable features are the small learning curve and its ability to hold a lot of data.""Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful.""You can quickly build models because it does the work for you.""The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial.""I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well.""The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it."

More IBM SPSS Statistics Pros →

"I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer."

More IBM Watson Explorer Pros →

Cons
"The technical support should be improved.""SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous.""If there is any self-generation data collection plan (DCP), it would be helpful in gathering data. It would also be useful if there is a function to scale it up to, let's say, UiPath and have it consolidate and integrate into a UiPath solution.""I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input.""I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better.""IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert.""I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities.""SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

More IBM SPSS Statistics Cons →

"The solution is expensive."

More IBM Watson Explorer Cons →

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 →

    report
    Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
    653,522 professionals have used our research since 2012.
    Questions from the Community
    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:SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the… more »
    Top Answer:The solution is used for a government company for data collection and analysis.
    Top Answer:I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer.
    Ranking
    2nd
    out of 15 in Data Mining
    Views
    4,664
    Comparisons
    3,192
    Reviews
    10
    Average Words per Review
    574
    Rating
    8.5
    6th
    out of 15 in Data Mining
    Views
    1,124
    Comparisons
    827
    Reviews
    1
    Average Words per Review
    169
    Rating
    10.0
    Comparisons
    Also Known As
    SPSS Statistics
    IBM WEX
    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.”

    IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

    Offer
    Learn more about IBM SPSS Statistics
    Learn more about IBM Watson Explorer
    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
    RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
    Top Industries
    REVIEWERS
    University44%
    Financial Services Firm17%
    Aerospace/Defense Firm6%
    Non Profit6%
    VISITORS READING REVIEWS
    Comms Service Provider21%
    Educational Organization12%
    Computer Software Company10%
    University9%
    VISITORS READING REVIEWS
    Computer Software Company23%
    Government12%
    Comms Service Provider11%
    Financial Services Firm8%
    Company Size
    REVIEWERS
    Small Business36%
    Midsize Enterprise20%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise15%
    Large Enterprise68%
    REVIEWERS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise8%
    Large Enterprise68%
    Buyer's Guide
    Data Mining
    November 2022
    Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: November 2022.
    653,522 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 2nd in Data Mining with 10 reviews while IBM Watson Explorer is ranked 6th in Data Mining with 1 review. IBM SPSS Statistics is rated 8.6, while IBM Watson Explorer is rated 10.0. The top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". On the other hand, the top reviewer of IBM Watson Explorer writes "A data analysis tool that is scalable and includes keyword search functionality". IBM SPSS Statistics is most compared with IBM SPSS Modeler, Alteryx, Microsoft Azure Machine Learning Studio, Weka and TIBCO Statistica, whereas IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Tableau, Microsoft BI, SAS Analytics and IBM Planning Analytics.

    See our list of best Data Mining vendors.

    We monitor all Data Mining 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.