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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

IBM SPSS Modeler, a leading visual data-science and machine-learning (ML) solution, is designed to help enterprises accelerate their time to value through the automation of operational tasks by data scientists. It is used by organizations around the world for data preparation, discovery, predictive analytics and model management and deployment. ML is also used to monetize data assets. IBM SPSS Modeler transforms data in the best possible format for accurate predictive modeling. You can now analyze data in just a few clicks, identify fixes, screen fields out and derive new characteristics. IBM SPSS Modeler uses its powerful graphics engine to help you bring your insights to life. The smart chart recommender will select the best chart from dozens of options to share your insights.

Description

Oyster transcends the typical role of a customer data platform (CDP) by being recognized as the world's first customer insights platform (CIP). Its fundamental focus is on the customer, positioning it as a "data unifying software." When incorporated into an enterprise's martech stack, it enhances the management of customer experiences at every interaction point, including marketing, customer service, and product development. By introducing agility to analytics within the organization, Oyster distinguishes itself from conventional customer relationship management platforms. It uniquely captures data from both online and offline customers, including those who remain anonymous. Furthermore, it aggregates enterprise data from a multitude of sources, ensuring that decision-makers have access to this information around the clock. Infused with AI technology, Oyster is equipped with advanced automation capabilities that significantly improve the efficiency of daily marketing operations. In contrast to other CDPs, the Oyster CIP not only integrates diverse data sources but also delivers actionable intelligence derived from various data points, allowing seamless integration across all business functions. This innovative approach ensures that organizations can respond rapidly and effectively to evolving customer needs and market dynamics.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Spark Yes 
Hadoop Yes 
IBM SPSS Amos Yes 
IBM SPSS Statistics Yes 
Python Yes 
R Yes 
TensorFlow Yes 
icCube Yes 

Integrations

Apache Spark No 
Hadoop No 
IBM SPSS Amos No 
IBM SPSS Statistics No 
Python No 
R No 
TensorFlow No 
icCube No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs No 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/spss-modeler

Vendor Details

Company Name

Express Analytics

Founded

1999

Country

United States

Website

www.expressanalytics.com

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Product Features

Customer Data Platforms (CDP)

Behavioral Analytics Yes 
Campaign Management Yes 
Customer Profiles Yes 
Customer Segmentation Yes 
Data Integration Yes 
Data Matching No 
GDPR Compliance Yes 
Personalization Yes 
Predictive Modeling Yes 

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