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IBM SPSS Modeler

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About IBM SPSS Modeler

IBM SPSS Modeler is a predictive analytics software from IBM that helps users uncover data patterns, gain predictive accuracy, and improve decision making. It combines SPSS Modeler, Automatic features, Easy interface, capable algorithms, and Visual data representation so users can effectively analyze and interpret complex data sets. The platform supports various data mining techniques, enabling organizations to make informed predictions based on historical data. Additionally, it offers integration with other IBM solutions for improved analytical capabilities. Key capabilities: SPSS Modeler Automatic features Easy interface capable algorithms Visual data representation Best for: data analysts and business intelligence professionals that need to conduct predictive analytics and data mining tasks.

IBM SPSS Modeler Details

Vendor
IBM
Year Launched
N/A
Location
505 Howard St, San Francisco, CA 94105, US
Deployment
cloud
Training Options
documentation
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Japanese, Korean, Brazilian Portuguese, Russian, Simplified Chinese, Traditional Chinese.
Users
Data scientists, analysts, coders, non-coders, business users, IT teams
Industries Served
Manufacturing, finance, banking, retail, healthcare, education, telecommunications, government, insurance, marketing, energy, logistics
Tags
Data Analysis, Machine Learning, Predictive Modeling, Data Mining, Data Visualization, Statistics, Decision Trees, Clustering, Classification, Regression Analysis.

IBM SPSS Modeler's In-App Market Place

Does IBM SPSS Modeler have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD ($), CAD ($), CHF (CHF), CNY (¥), SEK (kr), INR (₹), SGD ($), NZD ($), MXN ($), HKD ($), NOK (kr), KRW (₩), RUB (₽), BRL (R$), ZAR (R), TRY (₺)

Pros & Cons

  • Easy to Use: Visual, drag-and-drop interface for all skill levels.
  • Fast Results: Quickly deploys models, saving time.
  • Automated Data Prep: Simplifies data transformation.
  • Rich ML Algorithms: Extensive range of built-in machine learning options.
  • Flexible: Works on-premises, in the cloud, and integrates with open-source tools.
  • Potentially Expensive: Can be a significant investment.
  • Vendor-Specific: Might lead to vendor lock-in.
  • Complexity for Advanced Use: Full power requires deeper learning.

IBM SPSS Modeler's Support Options

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