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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Statistics

    Score8.1 out of 10
    N/ASPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

    $105

    per month per user

    Oracle CRM On Demand

    Score9.1 out of 10
    N/AThe basis of this offering is the Market2Lead product that Oracle acquired in 2010. It has now been fully integrated with Oracle's On Demand CRM product and is a full-featured marketing automation product with features from lead management and nurturing, to measuring marketing ROI.N/A
    Pricing
    IBM SPSS StatisticsOracle CRM On Demand
    Editions & Modules
    Base
    USD 3,830
    one-time fee per user
    Standard
    USD 8,440
    one-time fee per user
    Professional
    USD 16,900
    one-time fee per user
    Premium
    USD 25,200
    one-time fee per user
    Monthly subscription
    USD 105
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsOracle CRM On Demand
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsOracle CRM On Demand
    Considered Both Products
    IBM
    No answer on this topic
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    No answers on this topic
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    No answers on this topic
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    No answers on this topic
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    No answers on this topic
    Features
    IBM SPSS StatisticsOracle CRM On Demand
    Sales Force Automation
    Comparison of Sales Force Automation features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    8.9
    25 Ratings
    13% above category average
    Customer data management / contact management00 Ratings8.025 Ratings
    Workflow management00 Ratings9.024 Ratings
    Territory management00 Ratings8.024 Ratings
    Opportunity management00 Ratings8.025 Ratings
    Integration with email client (e.g., Outlook or Gmail)00 Ratings9.022 Ratings
    Contract management00 Ratings9.024 Ratings
    Quote & order management00 Ratings10.023 Ratings
    Interaction tracking00 Ratings9.024 Ratings
    Channel / partner relationship management00 Ratings10.023 Ratings
    Customer Service & Support
    Comparison of Customer Service & Support features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    9.7
    24 Ratings
    23% above category average
    Case management00 Ratings10.024 Ratings
    Call center management00 Ratings10.023 Ratings
    Help desk management00 Ratings9.024 Ratings
    Marketing Automation
    Comparison of Marketing Automation features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    8.5
    24 Ratings
    9% above category average
    Lead management00 Ratings8.024 Ratings
    Email marketing00 Ratings9.022 Ratings
    CRM Project Management
    Comparison of CRM Project Management features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    9.0
    24 Ratings
    16% above category average
    Task management00 Ratings9.023 Ratings
    Billing and invoicing management00 Ratings9.022 Ratings
    Reporting00 Ratings9.023 Ratings
    CRM Reporting & Analytics
    Comparison of CRM Reporting & Analytics features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    8.5
    24 Ratings
    11% above category average
    Forecasting00 Ratings10.024 Ratings
    Pipeline visualization00 Ratings6.623 Ratings
    Customizable reports00 Ratings9.024 Ratings
    Customization
    Comparison of Customization features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    8.2
    24 Ratings
    7% above category average
    Custom fields00 Ratings9.024 Ratings
    Custom objects00 Ratings9.024 Ratings
    Scripting environment00 Ratings5.820 Ratings
    API for custom integration00 Ratings9.023 Ratings
    Security
    Comparison of Security features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    9.5
    25 Ratings
    12% above category average
    Single sign-on capability00 Ratings10.022 Ratings
    Role-based user permissions00 Ratings9.025 Ratings
    Social CRM
    Comparison of Social CRM features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    9.0
    18 Ratings
    18% above category average
    Social data00 Ratings9.018 Ratings
    Social engagement00 Ratings9.018 Ratings
    Integrations with 3rd-party Software
    Comparison of Integrations with 3rd-party Software features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    9.0
    22 Ratings
    18% above category average
    Marketing automation00 Ratings9.022 Ratings
    Compensation management00 Ratings9.020 Ratings
    Platform
    Comparison of Platform features of IBM SPSS Statistics and Oracle CRM On Demand
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle CRM On Demand
    9.0
    18 Ratings
    17% above category average
    Mobile access00 Ratings9.018 Ratings
    Best Alternatives
    IBM SPSS StatisticsOracle CRM On Demand
    Small Businesses
    No answers on this topic
    Salesflare
    Score10 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score9 out of 10
    Kintone
    Score9.7 out of 10
    Enterprises
    Alteryx Platform
    Score9 out of 10
    Oracle Sales
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS StatisticsOracle CRM On Demand
    Likelihood to Recommend
    8.5
    (116 ratings)
    10.0
    (26 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (15 ratings)
    9.0
    (2 ratings)
    Availability
    6.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (12 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    10.0
    (1 ratings)
    Configurability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    5.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM SPSS StatisticsOracle CRM On Demand
    Likelihood to Recommend
    IBM
    IBM SPSS Statistics is well suited for pretty much any data analytic scenario. It can handle extremely complex and large-scale datasets with ease. It especially shines if you have to do any kind of analyses that involve significance testing. Being able to do any number of significance tests (i.e., t-tests, chi-square, ANOVAs, etc.) right inside the tool is very valuable. The only scenario I would say it is less appropriate is if you need to work on a very small dataset and answer very simple questions, like frequencies or averages. In those cases, something like Excel could probably do the job just as easily.
    Incentivized
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    Oracle
    I think it is well suited for organizations which are large with a lot of users so as to be able to minimize the cost of operations. Also, the organization which interacts mostly with customers can use Oracle CRM on demand.
    Incentivized
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    Pros
    IBM
    • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
    • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
    • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
    • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
    • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
    Incentivized
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    Oracle
    • Several of our members were not familiar with various IT functions within CRM prior to working with it and so they were able to develop a working knowledge of IT pretty quickly afterwards.
    • It has a familiar feel to it as it allows users to work the data into a spreadsheet type layout with pivot tables and graphs and so it is quick to adopt.
    • Customization is great with a working knowledge of HTML, which isn't too hard to learn. You can really adapt CRM to any needs stylistically or content wise.
    Incentivized
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    Cons
    IBM
    • Cost is becoming prohibitive.
    • Availability of procedures in the base package seems to be dwindling.
    • The copy-and-paste function from output to Excel is not as easy as it once was (now I have to do a "paste special").
    • Text and date handling are terrible.
    • Need to include AI-based NLP for survey verbatims and other text-based fields. This is becoming increasingly important in the CX world, yet SPSS seems to be ignoring it.
    Incentivized
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    Oracle
    • The ability to schedule and push out reports is missing from this system. If we want to mass deliver a report on a schedule, we must run it, export it and email it out to the group, or purchase a 3rd party system.
    • The ability to trigger workflow events on a schedule is missing this system. Currently, there has to be a trigger initiated by a user and we have situations where we'd like to be able to schedule a work flow routine to go out and check from specific situations and then trigger an action. We'd also like to be able to trigger workflow actions on one object based on something in another object and this capability is very limited.
    Incentivized
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    Likelihood to Renew
    IBM
    Both
    money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
    using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
    entry and data analysis for my research. Output from SPSS is very easy to
    interpret for data analysis and findings
    Incentivized
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    Oracle
    Because am using oracle last 3 years and it’s great
    Read full review
    Usability
    IBM
    Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
    Incentivized
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    Oracle
    Compared to other competitors I find it very easy to use and learn .It has been helpful in our organisation and we have been able to manage our projects and operations well without interference.
    Incentivized
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    Reliability and Availability
    IBM
    SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
    Incentivized
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    Oracle
    No answers on this topic
    Performance
    IBM
    SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
    Incentivized
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    Oracle
    No answers on this topic
    Support Rating
    IBM
    I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
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    Oracle
    As am using oracle very much satisfy.
    Read full review
    Implementation Rating
    IBM
    Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
    Incentivized
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    Oracle
    With the right partner Oracle CRM On Demand can be implemented very quickly and seamlessly.
    Incentivized
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    Alternatives Considered
    IBM
    If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 years ago and has shown no desire to improve.
    Incentivized
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    Oracle
    MS Dynamics was easy to integrate to MS Power BI. This BI and reporting aspect is a clear strong point for Microsoft. MS solutions seem easier to integrate and learn, but this depends on the IT landscape and the complexity of integrations in a respective company.
    Incentivized
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    Scalability
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
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    Oracle
    No answers on this topic
    Return on Investment
    IBM
    • I found SPSS easier to use than SAS as it's more intuitive to me.
    • The learning curve to use SPSS is less compared to SAS.
    • I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
    Incentivized
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    Oracle
    • This software can display in real-time when an order is submitted, received, fulfilled, and shipped out. We are able to know within the week of what new orders came in and how effective we are being from targeting specific regions of the nation.
    Incentivized
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    ScreenShots

    IBM SPSS Statistics Screenshots

    Screenshot of SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.Screenshot of SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.Screenshot of IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.Screenshot of IBM SPSS Statistics Curated Help. These can interpret correlation output.Screenshot of IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language