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RaCR — Rapid Characterization and Root Cause Analysis
RaCR is an interactive analysis environment that combines the ease-of-use that dataConductor is known for, with the power and flexibility required for a range of analysis tasks. Analysis begins with a standard or customized template, and continues through the power of drag-and-drop analysis objects, intuitive filtering, and point-and-click sorting. A range of tools and tabular summaries are provided as standard means of performing common analysis tasks, all of which can be customized to fit any given analysis environment.
With dataConductor, features such as flexible attribute grouping and thumbnail previews have long provided customers with an easy-to-use platform for making data-driven decisions. RaCR builds on this tradition with more powerful sorting, filtering, and grouping of results. Throughout RaCR, interactive data sub-selection lets you highlight data values or data groups of interest and drilldown for further analysis. Combinations of graphical and tabular results can be saved as customized templates. Applications such as gauge repeatability and reproducibility (R&R) offer a convenient way of processing data for multiple appraisers across hundreds or thousands of tests.
RaCR provides graphical methods of analysis, such as histograms, boxplots, normal probability plots (NPPs), line plots, and many others, along with a range of common statistical summaries. Analysis results are easily saves to RTF or eBinders for storage, reporting, or printing. Given the template-based environment, it's easy for anyone using RaCR to mix and match graphical and tabular results, and to arrange the results in any order. Sorting can be as simple as clicking on a column header to sort by that statistic, or as sophisticated as sorting by multiple factors and filtering through conditional clauses.
