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Rating: 
Summary: Industrial Strength for ops analysts and R&D
Review: Unlike SAS' STATVIEW, which is for general statistical analysis for a number of business and technical disciplines, this application is focused on operations analysis, statistical process control and design of experiments. What makes this an 'industrial-strength' tool is the fact that it works with mainstream applications, such as Microsoft Excel (open tables can directly access Excel files), and with any database that can be accessed via ODBC (MS Access, Oracle, SQL Server, etc.). Further ease of use is provided by the column browser that combines a familiar spreadsheet view with powerful navigation capabilities. Additional flexibility is given by extensive reporting features (easy layout, save as HTML for web publishing, and editing data while in the report function). If you want to automate repetitive tasks JMP also includes a scripting language that is reasonably easy to learn and is integrated with the formula editor. One of the more powerful functions is design of experiments, which sets this application apart from general statistics programs - if you use DOE or Taguchi methods then you have ample justification for investing in JMP because you're be significantly more productive. In addition to DOE/Taguchi methods JMP does descriptive statistics (eliminating the need for a separate statistics program), linear models, correlations and multivariate computations, statistical process control charts, and time series analysis. These capabilities make it ideal for anyone involved with quality assurance, R&D, operations analysis and reliability modeling. This is a professional tool that will save more time than more general packages such as the company's other product, STATVIEW, or applications such as MathCAD.
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