JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery
SAS/STAT

SAS/STAT

SAS Institute
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About

JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.

About

SAS/STAT includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. And because the software is updated regularly, you'll benefit from using the newest methods in the rapidly expanding field of statistics. With more than four decades of experience developing advanced statistical analysis software, SAS has an established reputation for delivering superior, reliable results. Our rigorous software testing and quality assurance program means you can count on the quality of each release. You can be confident that the code you produce with SAS/STAT is documented and verified to meet corporate and governmental compliance requirements. Hundreds of built-in, customizable charts and graphs ensure clear, consistent statistical output, so your analysis results are easy to understand.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Scientists, Engineers, Researchers, and Analysts

Audience

Enterprises and companies in search of a statistical analysis software for making sound decisions

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$1320/year/user
$1320/year/user. Bulk discounts available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • JMP combines the intuitive programing of Excel with the power of the SAS platform. An awesome environment in which to acquaint people with stats outside of the 'basics'.

Cons

  • Few. The graphs are not necessarily as pretty as I would like, but the ability to quickly construct and modify a graph or analysis definitely make my complaint more of a gripe.

Pros & Cons from Real Users

Pros

  • SAS gives the user the capability to program any analysis necessary and provides abundant support to contextualize any novel situation that user might encounter. This is the real deal, choose your own adventure statistical analysis package.

Cons

  • I did not dislike this per se, but there is a learning curve. However, SAS provides some of the most thorough documentation and reference material of any software package I have worked with, and learning the syntax absolutely helps you as a researcher better understand the 'hows' and 'whys' of analysis.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

JMP Statistical Discovery
Founded: 1989
United States
www.jmp.com

Company Information

SAS Institute
Founded: 1976
United States
www.sas.com/en/software/stat.html

Alternatives

Alternatives

StatPlus

StatPlus

AnalystSoft
Alchemite

Alchemite

Intellegens
ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski
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JMP Statistical Discovery
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GraphPad InStat

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Categories

Categories

Data Analysis Features

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

Dashboard Features

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Cleansing Features

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Discovery Features

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

Data Mining Features

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

Data Preparation Features

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

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Predictive Analytics Features

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

Qualitative Data Analysis Features

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 Features

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

Data Analysis Features

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

Integrations

Amazon Aurora
Azure SQL Database
DDN WOS
FACS
Google Sheets
Hive
IBM Db2
JSON
MATLAB
Microsoft Access
Minitab Statistical Software
OAuth
PostgreSQL
Python
R
SAP Adaptive Server Enterprise (ASE)
SAP HANA
SAS Analytics Pro
TIMi
Teradata QueryGrid

Integrations

Amazon Aurora
Azure SQL Database
DDN WOS
FACS
Google Sheets
Hive
IBM Db2
JSON
MATLAB
Microsoft Access
Minitab Statistical Software
OAuth
PostgreSQL
Python
R
SAP Adaptive Server Enterprise (ASE)
SAP HANA
SAS Analytics Pro
TIMi
Teradata QueryGrid
Claim JMP Statistical Software and update features and information
Claim JMP Statistical Software and update features and information
Claim SAS/STAT and update features and information
Claim SAS/STAT and update features and information