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 Mid-sized Companies (51-1,000 employees).
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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.
- Range of algorithms
- Easy development environment
- Ability to customize
- Quick development.
- Robust environment to handle the largest dat challenges.
- Ability to incorporate freeform text.
IBM SPSS Modeler is considerably easier to use. It allows for very rapid development and the ability to get to a goal quickly. There is no need to learn a new programming language so the analyst has the ability to focus on the problem rather than the pedantics of managing code and debugging the program.
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.
- Helps make business decisions by finding hidden patterns in data.
- For social scientists, this tool makes analysis so much more effective and saves a lot of time, while it helps gain greater insight into their data.
- Since SPSS does not provide good visualization features, we need to invest in a separate tool for visualization only.
SPSS has a great set of analytical models, but SPSS is especially strong (compared to other tools) in complex statistical modeling and predictive analytics/statistics. However, the data connectivity features of SPSS are not the best, as the data sources SPSS can work with are limited. Also, it can be pretty slow and clunky compared to other tools.
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.
- 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.
The field of data analytics has important value for each organization. IBM SPSS Modeler is one of the leaders in this highly competitive vertical. IBM SPSS is very intuitive compared with others, and has reduced the complexity. This software has various good functionalities which is very beneficial for an analytics based organization.