IBM SPSS Modeler is My Choice
Modeler is used to analyze large amounts of data and to develop and deploy predictive models. The software will look for an appropriate …
Starting at $499 per month
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What is IBM SPSS Modeler?
IBM 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,…
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Pricing
IBM SPSS Modeler Personal
4,670
On Premise
per year
IBM SPSS Modeler Professional
7,000
On Premise
per year
IBM SPSS Modeler Premium
11,600
On Premise
per year
Entry-level set up fee?
- Setup fee optional
For the latest information on pricing, visithttps://www.ibm.com/us…
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $499 per month
Product Demos
CHAID Demo 1394186
YouTube
IBM SPSS Modeler Demo #4 Deploy Analysis Results
YouTube
IBM SPSS Modeler Demo #3 Analyze Data
YouTube
IBM SPSS Modeler: Data Processing (Data Manipulation)
YouTube
Product Details
- About
- Competitors
- Tech Details
- Downloadables
- FAQs
What is IBM SPSS Modeler?
IBM 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.
Organizations use IBM SPSS Modeler to find answers to their critical business questions, such as:
- Which customers are likely to churn?
- What products and services are prospects likely to purchase together?
- Which insurance claims have a high probability of fraud?
- Which machines on the assembly line are likely to fail?
- Where do we need to deploy additional law enforcement resources?
- How can we select the right applicants for the right roles?
IBM SPSS Modeler is also available within IBM Cloud Pak for Data, a containerized data and AI platform used to build and run predictive models anywhere — on any cloud and on premises. IBM Cloud Pak for Data as a Service enables running Modeler flows on the public cloud.
IBM SPSS Modeler Features
- Supported: Visual analysis streams
- Supported: Broad range of advanced analytical techniques
- Supported: Automatic data preparation
IBM SPSS Modeler Screenshots
IBM SPSS Modeler Video
IBM SPSS Modeler Competitors
IBM SPSS Modeler Technical Details
| Deployment Types | On-premise |
|---|---|
| Operating Systems | Windows, Linux, Mac, AIX |
| Mobile Application | No |
| Supported Languages | English, French, German, Italian, Spanish, Japanese, Simplified Chinese, Traditional Chinese, Brazilian Portuguese, Korean, Polish, Russian |
IBM SPSS Modeler Downloadables
Frequently Asked Questions
IBM 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.
IBM SPSS Modeler starts at $499.
The most common users of IBM SPSS Modeler are from Enterprises (1,001+ employees).
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Reviews and Ratings
(41)Attribute Ratings
Reviews
(1-6 of 6)Companies can't remove reviews or game the system. Here's why
May 10, 2021
IBM SPSS Modeler is My Choice
Modeler is used to analyze large amounts of data and to develop and deploy predictive models. The software will look for an appropriate model, assess the quality of models, and create predictions for new data. Modeler can be used in the analysis of numeric data and also with text data. Additionally, text and numeric data can be combined in models if appropriate.
- 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.
- The graphics are weak.
January 25, 2021
SPSS Modeler is a great addition to Data Science toolkit, faster results than coding
IBM SPSS Modeler is the on-premise version of Modeler Flow, which we use in the Cloud Pak for Data as a Service application in IBM's cloud. Mainly, it is an interface based application with nodes that replaces the need to write code. In several instances, it can be a quicker method to designing a data science project. We use it for the Text Analytics node to assist with ad hoc NLP requests to turn over NLP in a quicker fashion than typical.
- Fast code builder.
- No need to maintain software versioning.
- Visual code, easy to see what's happening.
- Details of models and nodes requires some "digging", "clicking".
- Customization of versions is hard to implement.
- Latest open source code packages take time to integrate into the application.
As an online psychology and statistics tutor, research consultant, and uni student, I use SPSS daily to support undergraduate, postgraduate and lecturer learning of how to use the SPSS program and interpret findings; as well as using the program for in-house research, my assessments, and as a consultant for NGOs, small business and as a research assistant for academic staff. Problems addressed include: descriptive analyses, assumption checking, NHST, effect sizes, and building models such as with path analysis, SEM, moderation and mediation (using PROCESS), and visual representation of data; for lecture and tutorial reviews, research proposals and reports including theses, and to manage research projects from outside of academia.
- Inputting data
- Test selection
- Data manipulation
- Providing sandbox data sets
- Two week trial for students considering purchase
- Reasonable rent prices
- Including MCAR in basic packages
- Standardise language across dialogue windows
- Enable 'undo' after sorting cases
- Include Bayesian options
May 16, 2019
A very good statistical analysis tool
IBM SPSS Modeler is used by our analytics department in order to perform management analysis and reporting, and also to perform financial control testing within the company. With the various statistical models and analytical tools, we can use this product for data discovery and exploration, then analyze the raw data and find patterns in it that help decision makers in their business decisions.
- A very nice and easy to use interface.
- A great variety of analytics, from statistical calculation to data validation and predictive statistics.
- Has a steep learning curve.
- 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.
December 18, 2018
IBM SPSS Modeler - Complete analytics tool
IBM SPSS Modeler is extensively used by our data analytics team. It is used for customer analytics to formulate and understand retention and engagement metrics, and used to analyze our CRM. It gives us a good amount of insights that help us to with easy and quick decision making. The business people use it for business problems and they don't have to have technical understanding.
- The model formulation from large amount of structured and unstructured data is commendable.
- It has a beautiful and intuitive new UI.
- The manual is very easy to understand. Hence, reduces the on boarding.
- The natural language processing (NLP) needs improvement.
- Already present integrations to other IBM products is poor.
- There are many things like Text analytics which are only available in gold edition.
- It is hard for a non-tech person to implement advanced modelling which requires Python, R.
July 27, 2018
IBM SPSS Modeler, a vendor perspective
Our company has 20+ years of developing solutions based on SPSS tools, one of them is IBM SPSS Modeler. In our experience, we have seen companies using Modeler across the whole organization to support critical business process. The versatility of the tool and easy deployment make it a first choice in organizations from Government to Retail, Finance, and Academics. Being able to reduce churn, to retain customers, forecast sales and inventory stock all within a friendly and powerful user interface is something that customers are really looking forward when it comes to accelerating ROI.
- GUI is really well accomplished and friendly, almost everyone with little investment in training can take advantage of the tool.
- Escalability, you can grow your investment in licensing according to your actual needs, from an annual authorized user, to perpetual concurrent and Big Data and Machine Learning capabilities.
- Open Sorce Ready: take leverage of all your developments made in R or Python and deployment all over the organization even with the user who isn´t used to code.
- Some Analyses aren't there out of the box but can be added through open languages like R and Python.
- Graphs could be better.
- Unable to read data stored in OLAP databases