TIBCO Spotfire Metrics
The TIBCO Spotfire Metrics module enhances TIBCO Spotfire Professional with an embedded collection of performance measurement tools and capabilities that automatically identify patterns and relationships in your data and allow you to create new KPI’s that dynamically re-calculate as you visually interact with the information.
Dynamic Expressions - Extend your TIBCO Spotfire analysis by creating your own custom measures and KPI’s that update on-the-fly such as cumulatively summing revenue per year; running profit differences month-to-month; or moving averages for stock prices. Say goodbye to static calculations that need to be re-executed each time data is added or removed, or whenever conditions and assumptions might change. Dynamic Expressions that you define will drive visualizations that respond and update instantly to filtering data or changing analysis parameters.
Dynamic Expressions enable highly customized data visualizations that are interactive and respond to filtering. This bar chart based on quarterly data is driven by an expression that shows cumulative sales totals per year that recalculate instantly in response to filtering.
Box Plot Visualization - Available in the Metrics package, the box plot, also known as the box-and-whisker plot, delivers an instant “big picture” of a dataset illustrating the distribution of data using statistical landmarks. As with all Spotfire visualization methods, the box plot instantly responds to data filtering, offers simple drag and drop configuration and the flexibility to create views using many different shapes of underlying data. Numerous statistical measures can be applied to the box plot visualization, including percentiles, means, medians, variance, confidence levels, outliers, and more. The Spotfire box plot can even display an embedded histogram view to help quickly spot bi-modal distributions and other abnormalities in data.
Box plots quickly depict data distributions and outlying data points.
K-Means Clustering - Automatically find the segments that are displaying similar behavior. Discover which doctors prescribe the same medications; how to best segment a target market; or which stores have similar sales patterns. Results of clustering become an interactive part of your analysis, so you can trellis your segments to see differences between regions or even use the results to identify emerging segments.
K-Means automatically detects and groups similar patterns in your data.
Data Relationships - Automatically find correlations in your data with the TIBCO Spotfire Data Relationship tool. Instantly find the most significant relationships among the data attributes, then interactively browse the results to ask and answer new questions.
The Data Relationships tool contains several statistical tests in one simple interface. For categorical comparisons, Data Relationships has the Chi-square test. For numeric comparisons, Data Relationships offers the choice between linear regression and Spearman-R test for parametric and non-parametric analysis respectively. For categorical to numeric comparisons, Data Relationships offers the choice between ANOVA (Analysis of Variance) and Kruskal-Wallis tests for parametric and non-parametric analysis respectively.The TIBCO Spotfire Data Relationships tool will automatically calculate the similarity between every selected column pair, and the results are sorted by p-value (significance of relationship). A point-and-click interface allows you to browse the results and investigate the specific relationships the tool has uncovered for deeper interactive analysis.
Data Relationships tool will automatically find correlated pairs of columns in your data.
Line Similarity - Quickly uncover which trends most closely match your target or pattern of interest. Line Similarity quickly finds which other products most closely match the market leader’s sales trends; which sales reps are showing the most consistent improvement; or which struggling sales channels are in most need of attention. Results of a Line Search become an interactive part of the analysis, including graphical filters so you can quickly focus on top ranked results.
Line Similarity quickly finds the best match to the pattern you are looking for, like the sales channels with most consistent revenue increases.
Advanced Aggregation Methods - Visualize and calculate richer statistical properties of your data with the advanced methods offered in Spotfire Metrics. You will uncover subtle yet significant information about your business problems when you when you interactively visualize the median household income of your customer segment, the variance of buying patterns over time, or the confidence interval of stock prices. Plus, apply quartiles, lower and upper adjacent values, key percentiles, inner and outer fences, outlier counts and percentages, and more. Apply TIBCO Spotfire Metrics to your analysis to get a deeper understanding of your data.
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