IBM SPSS
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Segmentation
- Data Mining
- Predictive Models Development
- Initiatives Success Tracking
- Analytical Assets Management
- Processes Automation
- Results Sharing
- Predictive Analytics Platform Builder
- SEM Hypothesis Testing
- Prescriptive & Descriptive Analytics
- Data Preparation
- Real-Time Scoring
Pricing Info
Pricing Info
IBM SPSS offers the following SMB and enterprise pricing packages for users to choose from. Give the details a look, and select the best plan for your business.
IBM SPSS Statistics – $99.00/user/month
- Statistical Tools
- Open Source Integration
- Statistical Analysis
IBM SPSS Modeler – $199.00/user/month
- Multiple Data Sources Support
- Visual Analysis Streams
- Automatic Data Preparation
- Automated Modeling
- Algorithmic Methods
- Text Analytics
- Geospatial Analytics
- Multiple Deployment Methods
IBM SPSS Collaboration and Deployment Services – request a quote
- Collaboration Support
- Enterprise Analytics Sharing
- Automated Processes
- Infrastructure Integration
- Access & Version Control
IBM SPSS Analytic Server – request a quote
- Hadoop
- Structured & Unstructured Data
- Apache Spark Integration
IBM SPSS Amos – request a quote
- Visual Modeling
- Exploration Techniques
- Non-Graphical Modeling
- Variable Relationships Identification
IBM SPSS Analytics Enterprise – request a quote
- Combination of IBM Predictive Analytics Software
- Multiple Data Sources & Environments
- Flexible Deployment Options
- Open & Integrated Solution
Integrations
Integrations
IBM SPSS can integrate with open source applications. To learn more about the suite’s integration capabilities, contact support.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
California Franchise Tax Board, First Tennessee Bank, US Open
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
IBM SPSS is a software suite that utilizes predictive intelligence to provide users with accurate and actionable data for supreme business results. It is a flexible and user-friendly platform that lets people with varying skill levels employ the power of predictive analytics to projects of assorted sizes and diverse levels of complexity.
Company Email
Contact No.
Company's Address
IBM
1 New Orchard Road
Armonk, New York 10504-1722
United States
IBM SPSS Comparisons
Popular IBM SPSS Alternatives
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Multi-Purpose Solution
- Model Building & Validation
- Credit & Loan Scoring Models
- Adaptive Models
- Specialized Tree Ensemble Method
- Gini Index Calculations
- Alternative Historical Data
- Data Preparation
- Visualizations
- Predictive Analytics
- Churn Rate Analysis
Pricing Info
GiniMachine’s enterprise pricing information is available only on demand.
Integrations
GiniMachine doesn’t need to be integrated with third-party applications. Data of various formats can be upload to the software using a web browser.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
NEO Finance, MobiCom, Zenziya
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
GiniMachine is a data analytics software that aids banks and financial institutions to make informed decisions, reduce lending risks, and improve customer experiences.
Company Email
Contact No.
Company's Address
HES FinTech
UAB (HES Europe),
305038470, Vilnius,
Konstitucijos pr. 21B
GiniMachine Comparisons
Popular GiniMachine Alternatives
All the data, information and reviews that we shared in this analysis were taken from official vendor sites, advertising content available online, actual experience from real users as well as our individual hands-on use of every product by a professional reviewer. We put a lot of effort to comprehensively study every software, therefore we not only study it ourselves, but we also match our findings with views of other users from the B2B community.
Page last modified