Pricing score

IBM SPSS Modeler Pricing Profile

The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture.

HQ Location

Armonk, New York, USA

Category:

Key Takeaways

Graphical User Interface (GUI)

IBM SPSS Modeler uses a drag-and-drop interface, allowing users to visually construct data flows and build models without writing complex code. It offers pre-built templates and workflows for common analytics tasks, making it easy for users to get started.

Data Preparation

The platform provides a range of tools for data cleaning, transformation, and integration from different sources such as databases, spreadsheets, and big data platforms. It supports handling missing data, outliers, and data imputation, among other tasks essential for preparing data for analysis.

Text Analytics

SPSS Modeler features text analytics capabilities, enabling users to extract valuable insights from unstructured text data (e.g., social media posts, customer feedback, documents). It includes natural language processing (NLP) tools to clean and analyze text and extract meaningful information.

Product Overview

IBM SPSS Modeler is a powerful data science and predictive analytics platform that enables businesses and organizations to analyze data, uncover patterns, and make data-driven decisions. The platform provides a wide range of machine learning, statistical, and data mining techniques to support advanced analytics processes.

IBM SPSS Modeler is designed for both data scientists and business analysts, offering a graphical user interface (GUI) that allows users to build predictive models and conduct analytics without requiring deep programming expertise.

INSIGHTS

Our insights about IBM SPSS Modeler pricing

Subscription сost starts at USD 499 per month

Custom options

Can be expensive especially for small and medium businesses

Available Pricing Models

How much does IBM SPSS Modeler cost?

IBM SPSS Modeler does not publicly disclose its pricing on its website, as costs can vary based on factors like company size, the products selected, and specific requirements. For the most accurate and personalized pricing information, it’s best to contact IBM SPSS Modeler directly through their website or speak with a sales representative.

What users say about IBM SPSS Modeler pricing

Basil E.

The best thing about IBM SPSS Modeler is that it is a really powerful statistical tool for data mining. I had to do a clustering for my market research work and spss had different clustering techniques inbuilt and easily deployable.

PRANEETH VARDHAN D.

Costly permitting and upkeep costs.

Verified User in Marketing and Advertising

IBM SPSS Modeler is a program for statistical analysis and data processing. The software also offers strong data analysis capabilities, enabling you to do the most traditional statistical analyses. Because the SPSS modeler can accept various data types as input, you can handle the work yourself without taking additional steps to modify the data before using it. The GUI is well-designed and user-friendly; practically anyone can use the program with minimum investment in training.

Jessica S.

IBM SPSS Modeler is an impressive and comprehensive data analysis tool that caters to the needs of both novice and experienced data scientists. Its array of features and functionalities make it a powerful choice for those seeking to extract valuable insights from their data. While it's not without its limitations, its strengths far outweigh its weaknesses. SPSS Modeler boasts an intuitive interface that is relatively easy to navigate, even for users with limited coding experience. This accessibility makes it a great option for users who want to delve into data analysis without getting bogged down by complex programming.

Sounak R.

A bit pricey when it comes to multiple teams.

Basil E.

Jessica S.

PRANEETH VARDHAN D.

Costly permitting and upkeep costs.

Sounak R.

A bit pricey when it comes to multiple teams.

Verified User in Marketing and Advertising

IBM SPSS Modeler Pricing Rating

Automation and Integration: 4.8/5

The platform provides automation capabilities, enabling users to set up repeatable processes for data preparation, model training, and scoring. It supports integration with other IBM tools like IBM Watson Studio, IBM Cognos Analytics, and other third-party applications.

Analytics: 4.7/5

SPSS Modeler includes a variety of statistical and machine learning algorithms, such as regression, classification, clustering, time series forecasting, and association rule mining.

Scalability and Flexibility: 4.9/5

IBM SPSS Modeler can scale to handle large datasets, making it suitable for both small and large enterprises. It works across different environments, including on-premises, cloud, and hybrid environments, allowing flexibility in deployment.

FAQ on IBM SPSS Modeler Pricing

Does SPSS Modeler require programming skills?

No, IBM SPSS Modeler is designed to be accessible to users with limited programming experience. It features a drag-and-drop interface, so users can visually build models and workflows. However, more advanced users can extend its functionality with Python, R, and other scripting languages for customizations.

What types of analytics can IBM SPSS Modeler perform?

SPSS Modeler supports a variety of analytics techniques, including:

- Descriptive analytics (summarizing and understanding data)
- Predictive analytics (building models to forecast future outcomes)
- Prescriptive analytics (providing recommendations based on predictions)
- Statistical analysis (such as regression, ANOVA, and hypothesis testing)
- Machine learning (supervised and unsupervised learning, including classification, clustering, and anomaly detection)
- Text analytics (analyzing unstructured text data)
- Geospatial analytics (working with location-based data)

Can IBM SPSS Modeler be used for real-time analytics?

Yes, SPSS Modeler supports real-time analytics through its integration with other systems. It can be deployed in environments where real-time predictions are required (e.g., fraud detection, recommendation engines). Model scoring can be automated for batch processing or applied in real-time environments through APIs.

Can IBM SPSS Modeler be used for collaborative work?

Yes, SPSS Modeler supports collaboration among teams. Workflows, models, and results can be shared among team members, and different users can work on the same project in parallel. It integrates with IBM Watson Studio and other IBM tools for enhanced collaboration and version control.