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Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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Ratings and Reviews 7 Ratings

Total 4.5 out of 5 stars
ease 4.5 out of 5 stars
features 4.5 out of 5 stars
design 4 out of 5 stars
support 4.5 out of 5 stars

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What is Tom Sawyer Perspectives?

Tom Sawyer Perspectives is an extensive platform that enables the development of sophisticated graph and data visualization applications specifically designed for enterprise requirements. This integrated graph visualization software development kit (SDK) boasts a user-friendly graphics-based design and preview interface. By effectively linking to multiple enterprise data sources, the platform utilizes robust graph visualization, layout, and analytical technologies to address the complexities associated with big data. With Tom Sawyer Perspectives, developers can streamline the creation of high-quality, data-focused visualization applications that are ready for implementation. The application development process is supported by two primary graphical modules: the Designer and Previewer, which aid in visualizing and analyzing the distinctive data needs of each project. In the Designer module, developers are empowered to extract or create schemas, data sources, bindings, rules, views, filters, and search capabilities. Additionally, the Designer provides options for customizing toolbars, tooltips, context menus, and specific graphical behaviors for better data viewing and editing, which significantly boosts user engagement. Collectively, these features equip developers with all the essential tools needed to construct advanced applications that cater to a wide range of analytical demands, ultimately fostering innovation within enterprise environments.

What is IBM SPSS Statistics?

IBM® SPSS® Statistics software is utilized by diverse clients to address specific business challenges within various industries, ultimately enhancing the quality of decision-making processes. The platform encompasses sophisticated statistical analysis, an extensive collection of machine learning algorithms, capabilities for text analysis, open-source integration, compatibility with big data, and effortless application deployment. Notably, its user-friendly interface, adaptability, and scalability ensure that SPSS remains accessible to individuals with varying levels of expertise. Furthermore, it is well-suited for projects ranging from small-scale tasks to complex initiatives, enabling users to uncover new opportunities, boost operational efficiency, and reduce potential risks. In addition, the software's robust features make it a valuable tool for organizations looking to enhance their analytical capabilities.

Media

Media

Integrations Supported

AWS Marketplace
Amazon Neptune
MongoDB
MySQL
OrientDB
SAP HANA

Integrations Supported

Alteryx
Askia
IBM SPSS Amos
IBM SPSS Modeler
JMP Statistical Software
PolyAnalyst
Rapid Insight
SOCRadar Extended Threat Intelligence
ShareCRF
Snipplr
SurveyXact
TAS Insight Engine
TIMi
icCube

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$99/month
IBM® SPSS® Statistics has flexible pricing plans. See which option is right for you—from monthly subscriptions to perpetual licenses and special pricing for students and educators, there is an option for everyone.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Tom Sawyer Software

Date Founded

1992

Company Location

United States

Company Website

www.tomsawyer.com/perspectives/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/spss-statistics

Categories and Features

Data Analysis

Not specified

Data Visualization

Not specified

Graphing

Not specified

Categories and Features

Big Data

Collaboration
Data Mining
Predictive Analytics

Data Analysis

Not specified

Data Management

Not specified

Data Modeling

Not specified

Data Preparation

Not specified

Data Science

Not specified

Graphing

Not specified

Predictive Analytics

Not specified

Statistical Analysis

Association Discovery
Compliance Tracking
File Storage
Statistical Simulation

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