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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Modeler

    Score9.6 out of 10
    N/AIBM SPSS Modeler is a visual data science and machine learning (ML) solution designed to help enterprises accelerate time to value by speeding up operational tasks for data scientists. Organizations can use it for data preparation and discovery, predictive analytics, model management and deployment, and ML to monetize data assets.

    $499

    per month

    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 ModelerVerint Voice of the Customer
    Editions & Modules
    IBM SPSS Modeler Personal
    4,670
    per year
    IBM SPSS Modeler Professional
    7,000
    per year
    IBM SPSS Modeler Premium
    11,600
    per year
    IBM SPSS Modeler Gold
    contact IBM
    per year
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM SPSS ModelerVerint Voice of the Customer
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsIBM SPSS Modeler Personal enables users to design and build predictive models right from the desktop. IBM SPSS Modeler Professional extends SPSS Modeler Personal with enterprise-scale in-database mining, SQL pushback, collaboration and deployment, champion/challenger, A/B testing, and more. IBM SPSS Modeler Premium extends SPSS Modeler Professional by including unstructured data analysis with integrated, natural language text and entity and social network analytics. IBM SPSS Modeler Gold extends SPSS Modeler Premium with the ability to build and deploy predictive models directly into the business process to aid in decision making. This is achieved with Decision Management which combines predictive analytics with rules, scoring, and optimization to deliver recommended actions at the point of impact.—
    More Pricing Information
    Community Pulse
    IBM SPSS ModelerVerint 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
    100%
    Would buy again
    5 Answers
    93%
    Would buy again
    13 Answers
    Delivers good value for the price
    No answers on this topic
    91%
    Delivers good value for the price
    10 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    100%
    Happy with the feature set
    14 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    7 Answers
    Implementation went as expected
    No answers on this topic
    78%
    Implementation went as expected
    7 Answers
    Features
    IBM SPSS ModelerVerint Voice of the Customer
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM SPSS Modeler and Verint Voice of the Customer
    Feature
    IBM SPSS Modeler
    8.9
    2 Ratings
    6% above category average
    Verint Voice of the Customer
    -
    Ratings
    Connect to Multiple Data Sources8.82 Ratings00 Ratings
    Extend Existing Data Sources8.82 Ratings00 Ratings
    Automatic Data Format Detection9.01 Ratings00 Ratings
    MDM Integration9.01 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM SPSS Modeler and Verint Voice of the Customer
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    7% above category average
    Verint Voice of the Customer
    -
    Ratings
    Visualization9.01 Ratings00 Ratings
    Interactive Data Analysis9.01 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM SPSS Modeler and Verint Voice of the Customer
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    10% above category average
    Verint Voice of the Customer
    -
    Ratings
    Interactive Data Cleaning and Enrichment9.01 Ratings00 Ratings
    Data Transformations9.01 Ratings00 Ratings
    Data Encryption9.01 Ratings00 Ratings
    Built-in Processors9.01 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM SPSS Modeler and Verint Voice of the Customer
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Verint Voice of the Customer
    -
    Ratings
    Multiple Model Development Languages and Tools9.01 Ratings00 Ratings
    Automated Machine Learning9.01 Ratings00 Ratings
    Single platform for multiple model development9.01 Ratings00 Ratings
    Self-Service Model Delivery9.01 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM SPSS Modeler and Verint Voice of the Customer
    Feature
    IBM SPSS Modeler
    9.0
    1 Ratings
    6% above category average
    Verint Voice of the Customer
    -
    Ratings
    Flexible Model Publishing Options9.01 Ratings00 Ratings
    Security, Governance, and Cost Controls9.01 Ratings00 Ratings
    Best Alternatives
    IBM SPSS ModelerVerint Voice of the Customer
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    MindTouch
    Score7 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    Sogolytics
    Score9 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    Medallia
    Score8.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS ModelerVerint Voice of the Customer
    Likelihood to Recommend
    9.7
    (8 ratings)
    9.1
    (18 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.7
    (2 ratings)
    Usability
    8.9
    (2 ratings)
    8.6
    (14 ratings)
    Support Rating
    10.0
    (1 ratings)
    9.1
    (3 ratings)
    User Testimonials
    IBM SPSS ModelerVerint Voice of the Customer
    Likelihood to Recommend
    IBM
    Fast NLP analytics are very easy in SPSS Modeler because there is a built-in interface for classifying concepts and themes and several pre-built models to match the incoming text source. The visualizations all match and help present NLP information without substantial coding, typically required for word clouds and such. SPSS Modeler is good at attaining results faster in general, and the visual nature of the code makes a good tool to have in the data science team's repository. For younger data scientists, and those just interested, it is a good tool to allow for exploring data science techniques.
    Incentivized
    Read full review
    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
    • Combine text and data
    • Provide facilities for all phases of the data mining process.
    • Use a node and stream paradigm to easily and quickly create models.
    Incentivized
    Read full review
    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
    • Has very old style graphs, with lots of limitations.
    • Some advanced statistical functions cannot be done through the menu.
    • The data connectivity is not that extensive.
    • It's an expensive tool.
    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
    No answers on this topic
    Verint
    The cost versus product is a good value, so it all depends on the customer's needs/wants, and of course, budget
    Incentivized
    Read full review
    Usability
    IBM
    The ability to do predictive modeling, text analytics for both structured & unstructured data, decision management, optimization, and support for various data sources
    Incentivized
    Read full review
    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.
    Read full review
    Support Rating
    IBM
    The online support board is helpful and the free add ons are incredibly appreciated.
    Incentivized
    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.
    Read full review
    Alternatives Considered
    IBM
    When it comes to investigation and descriptive we have found SPSS Statistics to be the tool of choice, but when it comes to projects with large and several datasets SPSS Modeler has been picked from our customers.
    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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    Return on Investment
    IBM
    • Positive - Ease of decision making and reduction in product life cycle time.
    • Positive - Gives entirely new perspective with the help of right team. Helps expanding the portfolio.
    • Negative - Needs to have good understanding about mathematical modelling, of which talent is rare and expensive. Hence, increase the costs for R&D and manpower.
    Incentivized
    Read full review
    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
    Read full review
    ScreenShots

    IBM SPSS Modeler Screenshots

    Screenshot of Use a single run to test multiple modeling methods, compare results and select which model to deploy. Quickly choose the best performing algorithm based on model performance.Screenshot of Explore geographic data, such as latitude and longitude, postal codes and addresses. Combine it with current and historical data for better insights and predictive accuracy.Screenshot of Capture key concepts, themes, sentiments and trends by analyzing unstructured text data. Uncover insights in web activity, blog content, customer feedback, emails and social media comments.Screenshot of Use R, Python, Spark, Hadoop and other open source technologies to amplify the power of your analytics. Extend and complement these technologies for more advanced analytics while you keep control.

    Verint Voice of the Customer Screenshots

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