IBM SPSS Modeler

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
IBM SPSS Modeler	Score 8.7 out of 10	N/A	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.	$499 per month

Pricing

IBM SPSS Modeler

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

Offerings

Pricing Offerings
IBM SPSS Modeler
Free Trial
Yes
Free/Freemium Version
No
Premium Consulting/Integration Services
Yes

Entry-level Setup Fee

Optional

Additional Details

IBM 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 Modeler
Considered Both Products	IBM SPSS Modeler JM Jim McDonough President Chose IBM SPSS Modeler SPSS Modeler provides a much more intuitive approach in helping you create and test models. Incentivized Helpful? George DeMaagd, PharmD.,BCPS Professor of Pharmacy and Associate Dean of Academic Administration College of Pharmacy Chose IBM SPSS Modeler Python requires knowledge of programming, higher learning curve vs IBM SPSS Modeler Incentivized Helpful? Tim Daciuk Director, Advanced Analytics Chose IBM SPSS Modeler 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 … Incentivized Helpful? Ben Holmes Senior Data Scientist Chose IBM SPSS Modeler We additionally use SAS Data Miner as a toolkit. Compared to SAS Data Miner, the SPSS Modeler is a good competitor. SAS probably is more integrated in the market for a visual-based code for data science activities. However, I don't think it offers anything better than SPSS, and … Incentivized Helpful? Char Paul Psych n Stats Tutor Chose IBM SPSS Modeler JASP NVivo R Incentivized Helpful? Akos Krommer, CISA, ACDA Solution Specialist (Data Analytics) Chose IBM SPSS Modeler 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 … Incentivized Helpful? Himanshu Singh Product Manager Chose IBM SPSS Modeler 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 … Incentivized Helpful? Jesús Quintana Gerente de Ventas Sector Gobierno Chose IBM SPSS Modeler 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 Helpful?

Features

IBM SPSS Modeler

Platform Connectivity

Comparison of Platform Connectivity features of Product A and Product B
	IBM SPSS Modeler 8.6 2 Ratings 3% above category average
Connect to Multiple Data Sources	8.12 Ratings
Extend Existing Data Sources	8.12 Ratings
Automatic Data Format Detection	9.01 Ratings
MDM Integration	9.01 Ratings

Data Exploration

Comparison of Data Exploration features of Product A and Product B
	IBM SPSS Modeler 9.0 1 Ratings 7% above category average
Visualization	9.01 Ratings
Interactive Data Analysis	9.01 Ratings

Data Preparation

Comparison of Data Preparation features of Product A and Product B
	IBM SPSS Modeler 9.0 1 Ratings 10% above category average
Interactive Data Cleaning and Enrichment	9.01 Ratings
Data Transformations	9.01 Ratings
Data Encryption	9.01 Ratings
Built-in Processors	9.01 Ratings

Platform Data Modeling

Comparison of Platform Data Modeling features of Product A and Product B
	IBM SPSS Modeler 9.0 1 Ratings 7% above category average
Multiple Model Development Languages and Tools	9.01 Ratings
Automated Machine Learning	9.01 Ratings
Single platform for multiple model development	9.01 Ratings
Self-Service Model Delivery	9.01 Ratings

Model Deployment

Comparison of Model Deployment features of Product A and Product B
	IBM SPSS Modeler 9.0 1 Ratings 6% above category average
Flexible Model Publishing Options	9.01 Ratings
Security, Governance, and Cost Controls	9.01 Ratings

Best Alternatives
	IBM SPSS Modeler
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User Ratings
	IBM SPSS Modeler
Likelihood to Recommend	8.7 (8 ratings)
Usability	8.6 (2 ratings)
Support Rating	10.0 (1 ratings)

User Testimonials
	IBM SPSS Modeler
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 Ben Holmes Senior Data Scientist Read full review
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 Tim Daciuk Director, Advanced Analytics 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 Akos Krommer, CISA, ACDA Solution Specialist (Data Analytics) 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 JM Jim McDonough President Read full review
Support Rating	IBM The online support board is helpful and the free add ons are incredibly appreciated. Incentivized Char Paul Psych n Stats Tutor 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 Jesús Quintana Gerente de Ventas Sector Gobierno Read full review
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 Himanshu Singh Product Manager Read full review
ScreenShots	IBM SPSS Modeler Screenshots