IBM SPSS Modeler Reviews

IBM SPSS Modeler is positioned competitively within Gartner's top quadrant, with pricing adjustable based on organizational plans. Licensing is flexible, typically costing around $5,000 to $9,000 annually. Discounts, up to 70%, are available at quarter-end. Education-related users may access free versions. While potentially expensive, bundle discounts are possible for IBM product users. Additional costs can arise from required features and Linux deployment. Pricing satisfaction varies, often rated between five and seven out of ten.

• "The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."
• "It is an expensive product."
• "I am using the free version of IBM SPSS Modeler, it is the educational edition version."

Organizations primarily use IBM SPSS Modeler for analytics, predictive modeling, and data exploration. They leverage its capabilities for customer segmentation, churn analysis, and quick prototyping. With integration options for R and Python, users conduct advanced analytics and machine learning tasks. IBM SPSS Modeler facilitates data preparation, modeling, and real-time data manipulation. It is also employed in educational settings for teaching data science and running analyses on diverse datasets, including economic impact and business analytics.

IBM SPSS Modeler support exhibits mixed experiences. Some find value in technical assistance and online documentation, while others report difficulty in contact and receiving satisfactory help. Local support varies, with some relying on IBM partners. Installation and response times may be slow, and documentation requires improvement. Experiences with technical support range from satisfactory to needing enhancement, with accents noted as a barrier. Some users manage without requiring external technical help.

Users generally find IBM SPSS Modeler's initial setup straightforward, though some experience complexity, especially with server setups. Many appreciate guidance provided during installation. Issues often arise due to organizational environments rather than the tool itself. Upgrades are usually simple, but involve considerations of multiple components. Time involvement varies, with fast deployments reported. Practice and familiarity help mitigate data issues. Some users require additional components for workflow sharing and automation.

IBM SPSS Modeler is generally considered scalable by many users. Some highlight its ease of scaling and integration, especially for large enterprises, while others find it financially restrictive or technically limiting, particularly for smaller organizations. A few users mention dependency on hardware constraints and note financial and technical considerations when managing scalability. Feedback varies, with some rating it highly, while others see room for improvement.

IBM SPSS Modeler is generally stable, with most users finding it reliable. Some experience occasional crashes, especially with intensive tasks or specific settings. Issues such as canvas bugs, encoding problems, and regional setting conflicts have been noted. Users appreciate the maturity of the software; it performs well when background configurations are finalized. New versions improve functionality, yet concerns about specific workflows and outages remain for some. Stability ratings vary, commonly between seven and nine out of ten.