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IBM SPSS Statistics vs. Verint Voice of the Customer

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Statistics

    Score8 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

    Verint Voice of the Customer

    Score9.1 out of 10
    N/AVerint® Voice of the Customer™ lets CX Leaders optimize customer experiences in real-time. With Verint Voice of the Customer, companies can listen everywhere, act immediately, and analyze. Verint offers prescriptive VoC solutions across Web and Mobile, Enterprise-wide, and Location-Based experiences.N/A
    Pricing
    IBM SPSS StatisticsVerint Voice of the Customer
    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 StatisticsVerint Voice of the Customer
    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 StatisticsVerint Voice of the Customer
    Considered Both Products
    IBM
    No answer on this topic
    Verint
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    93%
    Would buy again
    13 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    91%
    Delivers good value for the price
    10 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    100%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    78%
    Implementation went as expected
    7 Answers
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    User Ratings
    IBM SPSS StatisticsVerint Voice of the Customer
    Likelihood to Recommend
    8.5
    (116 ratings)
    9.1
    (18 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    9.7
    (2 ratings)
    Usability
    8.0
    (15 ratings)
    8.6
    (14 ratings)
    Availability
    6.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (12 ratings)
    9.1
    (3 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    -
    (0 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 StatisticsVerint Voice of the Customer
    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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    Verint
    Verint Voice of the Customer is very well suited for measuring how satisfied (or dissatisfied) the customer base is in close to real time. Also well suited for identifying pain points across the experience. Not sure if the platform is well suited for measuring multiple interactions for a specified journey or a specific audience experiencing a specific journey
    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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    Verint
    • Excellent Customer Service, training resources.
    • Stable Platform- If a user gives a low satisfaction score, Verint Voice of the Customer can alert support teams to reach out and resolve the issue promptly.
    • Verint Voice of the Customer gathers customer feedback on OhioMeansJobs.com, it can capture survey responses after job searches, resume uploads, or virtual workshops, giving a holistic view of user experience.
    Read full review
    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
    Read full review
    Verint
    • Integrating with Google Analytics did take several sessions with their support team, so that could use improving
    • Needed additional assistance from their technical team because of the configuration
    • Limited customization for standard deployment survey templates. Some reports are a bit outdated
    Incentivized
    Read full review
    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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    Verint
    The cost versus product is a good value, so it all depends on the customer's needs/wants, and of course, budget
    Incentivized
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    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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    Verint
    Overall usability is easy and while I have been using it for years and used to it, new users seem to be able to create surveys without any training or hand holding. Simply create a login and they can figure it out themselves quickly because of the intuitive nature of the layout. Verint could use to improve or update the user interface as it seems very dated visually.
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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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    Verint
    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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    Verint
    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
    Read full review
    Verint
    Every support contact I have had, be it by email, live chat or phone, I have had my issue resolved very quickly, efficiently and professionally by a knowledgeable and well trained support team member. Having worked in technical support many years ago myself, I can appreciate the level of service and quality of support offered by Verint. I would, without hesitation, say that Verint offers one of the best support experiences out there.
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    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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    Verint
    No answers on this topic
    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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    Verint
    OpinionLab is one of the few out there that does two things very well in it's space: 1. Customer Feedback - just feedback, not surveys. Feedback is free text without more than one or two structured questions. Most survey systems offer too many options, and their reporting is made for structured data analysis not analysis of the open text fields. Some of the other tools viewed did not have the best features for medium or large scale deployment, from an analysis perspective, real-time data extract and download, or customization for branding.
    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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    Verint
    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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    Verint
    • Collect data around our login experience where eventually we were able to release a GPE directing customers to utilize our virtual assistant
    • Verbatim around the claims experience allowed us to update our Claims Status page to provide more detailed, transparent information to the customer around the status of their claim.
    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

    Verint Voice of the Customer Screenshots

    Screenshot of Digital FeedbackScreenshot of RetailScreenshot of a Trigger for Alerts & Case-Management