JMP Statistical Software vs. SAS Visual Statistics Comparison


JMP Statistical Software JMP Statistical Discovery	SAS Visual Statistics SAS	+	+
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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 With SAS Visual Statistics, multiple users can explore data, then interactively create and refine predictive models. Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue. Easily build and refine models to target specific groups or segments, and run numerous scenarios simultaneously. You can ask more what-if questions to get better results. And put results into action with an automatically generated score code. Empower multiple users to interact with data visually – to add or change variables, remove outliers, etc. Instantly see how changes affect your model's predictive power, and make refinements quickly. Data science teams have the ultimate flexibility of working in their language of choice, so they can use their skills to the fullest. SAS Visual Statistics unites all analytical assets.
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 searching for a solution to improve their discovery, prediction, and decision processes
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 View more images or videos	Screenshots and Videos View more images or videos
Pricing $1320/year/user 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 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
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 United States www.sas.com/en_us/software/visual-statistics.html
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Categories Dashboard Data Analysis Data Cleansing Data Discovery Data Mining Data Modeling Data Preparation Data Visualization Graphing Predictive Analytics Qualitative Data Analysis Statistical Analysis	Categories Data Science Statistical 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 Show More Features Dashboard Features Annotations Data Source Integrations Functions / Calculations Interactive KPIs OLAP Private Dashboards Public Dashboards Scorecards Themes Visual Analytics Widgets Data Analysis Features Data Discovery Data Visualization High Volume Processing Predictive Analytics Regression Analysis Sentiment Analysis Statistical Modeling Text Analytics 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
Integrations SAS Visual Data Science SAS Viya Amazon Redshift Google Sheets Hive IBM SPSS Statistics Impala Ledge MATLAB Microsoft Access Microsoft Azure Microsoft Excel OAuth Oracle API Management PostgreSQL Red Hat OpenShift SAP Adaptive Server Enterprise (ASE) SAS Analytics Pro SAS Visual Analytics SciCord Show More Integrations View All 33 Integrations	Integrations SAS Visual Data Science SAS Viya Amazon Redshift Google Sheets Hive IBM SPSS Statistics Impala Ledge MATLAB Microsoft Access Microsoft Azure Microsoft Excel OAuth Oracle API Management PostgreSQL Red Hat OpenShift SAP Adaptive Server Enterprise (ASE) SAS Analytics Pro SAS Visual Analytics SciCord Show More Integrations View All 10 Integrations
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