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Description
JMP is a data analysis tool compatible with both Mac and Windows that merges robust statistical capabilities with engaging interactive visualizations.
The software simplifies the process of importing and analyzing data through its user-friendly drag-and-drop interface, interconnected graphs, an extensive library of advanced analytic features, a scripting language, and various sharing options, enabling users to explore their datasets more efficiently and effectively.
Initially created in the 1980s to leverage the potential of graphical user interfaces for personal computing, JMP continues to evolve by incorporating innovative statistical techniques and specialized analysis methods from diverse industries with each new version released. Furthermore, John Sall, the founder of the organization, remains actively involved as the Chief Architect, ensuring the software stays at the forefront of analytical technology.
Description
Tosmana serves as a valuable tool for conducting Qualitative Comparative Analysis (QCA). This software supports both csQCA (Crisp-Set Qualitative Comparative Analysis) and mvQCA (Multi-Value QCA) assessments. For further information regarding QCA, you can visit the website of Charles Ragin and the COMPASSS Research Group. Development of this software began in 2000, and after a period of inactivity, the launch of version 1.4 in June 2016 signaled a revival in its progress. A website overhaul also took place in June 2016. Users can conveniently import data into TOSMANA by copying directly from a spreadsheet program. To accomplish this, open your dataset in the spreadsheet application, highlight all relevant data cells including the variable names in the first row, and copy them. In TOSMANA, navigate to File>Import from Clipboard to load the data, which will replace any previously existing information within the software. Once the import is completed successfully, it is essential to save your file in the appropriate format to ensure data integrity. This process not only makes data management easier but also enhances the overall user experience.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Aurora
Yes
Google Sheets
Yes
IBM Db2
Yes
IBM SPSS Statistics
Yes
JSON
Yes
MATLAB
Yes
MariaDB
Yes
Minitab Statistical Software
Yes
MySQL
Yes
OAuth
Yes
Integrations
Amazon Aurora
No
Google Sheets
No
IBM Db2
No
IBM SPSS Statistics
No
JSON
No
MATLAB
No
MariaDB
No
Minitab Statistical Software
No
MySQL
No
OAuth
No
Pricing Details
$1320/year/user
$1320/year/user. Bulk discounts available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
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)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
JMP Statistical Discovery
Founded
1989
Country
United States
Website
www.jmp.com
Vendor Details
Company Name
Lasse Cronqvist
Country
Germany
Website
www.tosmana.net
Product Features
Dashboard
Annotations
No
Data Source Integrations
Yes
Functions / Calculations
Yes
Interactive
Yes
KPIs
Yes
OLAP
No
Private Dashboards
Yes
Public Dashboards
Yes
Scorecards
No
Themes
No
Visual Analytics
Yes
Widgets
Yes
Data Analysis
Data Discovery
Yes
Data Visualization
Yes
High Volume Processing
Yes
Predictive Analytics
Yes
Regression Analysis
Yes
Sentiment Analysis
Yes
Statistical Modeling
Yes
Text Analytics
Yes
Data Cleansing
Address/ZIP Code Cleaning
Yes
Charting
Yes
Data Consolidation / ETL
Yes
Data Mapping
Yes
Multi Data Format Support
Yes
Phone/Email Validation
No
Raw Data Ingestion
Yes
Sample Testing
Yes
Validation / Matching / Reconciliation
No
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
Yes
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Data Mining
Data Extraction
Yes
Data Visualization
Yes
Fraud Detection
Yes
Linked Data Management
Yes
Machine Learning
Yes
Predictive Modeling
Yes
Semantic Search
Yes
Statistical Analysis
Yes
Text Mining
Yes
Data Preparation
Collaboration Tools
Yes
Data Access
Yes
Data Blending
Yes
Data Cleansing
Yes
Data Governance
Yes
Data Mashup
Yes
Data Modeling
Yes
Data Transformation
Yes
Machine Learning
Yes
Visual User Interface
Yes
Data Visualization
Analytics
Yes
Content Management
No
Dashboard Creation
Yes
Filtered Views
Yes
OLAP
No
Relational Display
Yes
Simulation Models
Yes
Visual Discovery
Yes
Predictive Analytics
AI / Machine Learning
Yes
Benchmarking
Yes
Data Blending
Yes
Data Mining
Yes
Demand Forecasting
Yes
For Education
Yes
For Healthcare
Yes
Modeling & Simulation
Yes
Sentiment Analysis
Yes
Qualitative Data Analysis
Annotations
Yes
Collaboration
Yes
Data Visualization
Yes
Media Analytics
Yes
Mixed Methods Research
Yes
Multi-Language
Yes
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
Yes
Sentiment Analysis
Yes
Statistical Analysis
Yes
Text Analytics
Yes
User Research Analysis
Yes
Statistical Analysis
Analytics
Yes
Association Discovery
Yes
Compliance Tracking
Yes
File Management
Yes
File Storage
Yes
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
Yes
Survival Analysis
Yes
Time Series
Yes
Visualization
Yes
Product Features
Qualitative Data Analysis
Annotations
No
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
No
Qualitative Comparative Analysis
Yes
Quantitative Content Analysis
No
Sentiment Analysis
No
Statistical Analysis
No
Text Analytics
No
User Research Analysis
No