Accessible and agile big data analysis
dC Analysis 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. dC Analysis builds on this tradition making it easy to filter, slice, dice, and drill-down on data without limits. Throughout dC Analysis, interactive data sub-selection lets you highlight data values or data groups of interest and drilldown for further analysis. 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.
dC Analysis 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 saved to RTF or eBinders for storage, reporting, or printing. It’s easy for anyone using dC Analysis 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.