![]() ![]() JMP Pro can be used for data mining and for building predictive models that generalize well, especially when the volume of data is large or when data are messy or missing or include outliers. JMP Pro also offers predictive modeling with cross validation advanced consumer research and reliability analysis and modern statistical modeling and bootstrapping. It provides all the tools for visual data access and manipulation, interactivity, comprehensive analyses, and extensibility found in JMP. JMP Pro is the advanced analytics version of JMP statistical discovery software. Interactive, comprehensive, extensible, and highly visual, JMP includes capabilities for data access and processing statistical analysis design of experiments multivariate analysis quality and reliability analysis scripting graphing and charting and more. JMP is designed for dynamic data visualization and analytics on the desktop. JMP (pronounced "jump") is a suite of computer programs for statistical analysis developed by the JMP business unit of the SAS Institute. Overall, high level simulations, excel add-in, and pricing are the drawbacks of JMP.Available to: Students Faculty Staff and Researchers Platforms: Mac and Windows Also, JMP is quite expensive for small business, the pricing is suitable for midsize and large companies. JMP's parent company SAS follows different set of integration codes because of which the intergration with most large scale software for data access becomes a challenge. Other software integrations for JMP are quiet challenging. Loading large amount of data is very tedious as it takes lot of time and it crashes very frequently. ![]() Error and bug fixing requires exhaustive customer support and it is very time consuming. It is easy to upload an excel sheet in JMP, but the excel add-in takes more time to work, sometimes it even fails to operate. For example, JMP sometimes fails to recognize the difference between number and a string. Variable value designation is a big problem in JMP, the software fails to recognize the type of data when it comes to numeric value. The available simulations are basic simluations which are capable to produce certain amount of data predictions. JMP doesn't provide any tools to analyze data using high level simulations. Overall JMP is must use tool for statisticians. New methods like segmentation and conjoint analysis are also available in JMP. The profiler component of the JMP is very useful to share analysis and reports using web interface. The results displayed are very good graphic display, easy to save and copy graphs other documents. ![]() Drag and drop functionality is very useful when it comes to handling lots of data. The dashboard application makes it very easy for the user to carry out the complex operations for the advance multivariate methods. For multivariate statistics JMP is a good tool when it comes to analyzing data using linear regression, ANOVA, MANOVA, and logistic regression. The tool accepts data in different formats csv, xlsx, and dat format. Data mining, data cleaning, and descriptives statistics can be very easily performed on JMP. It has a dashboard which is easy to navigate and feature enabled. Anybody with no experience and training can use JMP with ease. It is is one of the statistical package software which doesn't require coding skills. It is very easy to use and requires no prior experience. JMP comes with lots of feature and functionality. It is available on a perpetual license and support is extended via email, discussion forum, documentation and FAQs. JMP allows organizations to use third-party analytics tools, such as SAS, MATLAB, R and Python. Additionally, leaders can conduct consumer and market research via data mining, survey analysis, choice experiments and more. It lets users design all experiments based on current problems, budgets and available timing. JMP enables data explorers to utilize what-if scenarios and reliability analysis to depict patterns, gain insights into product performance and address design vulnerabilities. The data acquisition and cleanup functionalities allow users to import data from Open Database Connectivity (ODBC) compliant databases and screen data for outliers, entry errors and missing values, among other inconsistencies. JMP is an on-premise data analytics solution that helps scientists, engineers and data explorers understand complex data relationships and visualize them via interactive dashboards. ![]()
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