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features 0 out of 5 stars
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Total 5 out of 5 stars
ease 5 out of 5 stars
features 4 out of 5 stars
design 5 out of 5 stars
support 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 JMP Statistical Software?

JMP is a versatile data analysis application that works seamlessly on both Mac and Windows platforms, offering a blend of advanced statistical features and captivating interactive visualizations. Its intuitive drag-and-drop interface streamlines the data importation and analysis process, complemented by interconnected graphs, a vast array of sophisticated analytic tools, a built-in scripting language, and multiple sharing functionalities, all designed to enhance users' ability to examine their datasets both efficiently and effectively. Originally developed in the 1980s to capitalize on the advantages of graphical user interfaces in personal computing, JMP has continually progressed by integrating cutting-edge statistical methodologies and tailored analysis techniques from various sectors with each new iteration. Additionally, John Sall, the organization's founder, plays an active role as the Chief Architect, ensuring that the software evolves to meet the dynamic needs of analytical technology. This commitment to innovation and user experience underscores JMP's reputation as a leading choice for data analysis across numerous fields.

Media

Media

Integrations Supported

MySQL
SAP HANA
Amazon Neptune

Integrations Supported

MySQL
SAP HANA
Amazon Aurora
Amazon Redshift
Azure SQL Database
FACS
Google Sheets
Hive
IBM Db2
JSON
Ledge
MariaDB
Minitab Statistical Software
OAuth
Python
SAP Adaptive Server Enterprise (ASE)
SAS Visual Data Science
SAS Viya
SQLite

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$1320/year/user
$1320/year/user. Bulk discounts available.
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows
Mac

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Tom Sawyer Software

Date Founded

1992

Company Location

United States

Company Website

www.tomsawyer.com/perspectives/

Company Facts

Organization Name

JMP Statistical Discovery

Date Founded

1989

Company Location

United States

Company Website

www.jmp.com

Categories and Features

Data Analysis

Not specified

Data Visualization

Not specified

Graphing

Not specified

Categories and Features

Dashboard

Data Source Integrations
Functions / Calculations
Interactive
KPIs
Private Dashboards
Public Dashboards
Visual Analytics
Widgets

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Raw Data Ingestion
Sample Testing

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Modeling

Not specified

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Visualization

Analytics
Dashboard Creation
Filtered Views
Relational Display
Simulation Models
Visual Discovery

Graphing

Not specified

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

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