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Rapid Insight® Analytics makes exploring your data and building predictive models easy. Whether you simply want to create a graphical presentation for the board of directors, or you want to build predictive models, Rapid Insight® Analytics is going to make this easy for you.

Analytics Features
Exploratory Analysis: Choose a variable to analyze and then sit back and let Rapid Insight® automatically find relationships in your data. It’s as simple as that. Next, visualize each of these relationships and capture any or all charts to put into PowerPoint, or use them to create a Rapid Insight® report. With our drill down feature, you can click into a chart to drill down and view any of the data.
 
Automated Modeling: Quickly build powerful statistical models to figure out things like:
· Which customers should you be targeting with which products?
· Which customers are going to leave to go to a competitor?
· How much value will each prospect be worth?
· How much will sales revenue will the Eastern Division bring in next month?
 
Automated Profiling: Compare one group of customers to another group and automatically find how these groups are different. For example, what makes your high value customers different from your low value customers?
 
One touch Reporting/Presentations: Any interesting findings that you come up with can be captured with a drag and drop. These can then be put into a report or exported into a PowerPoint presentation.
 
Variable Creation: Easily create new variables with the touch of a button. Once a variable is created, it’s available everywhere in your analysis.
 
Automated Scoring: Save any models that you create and have the software use them to automatically score a dataset or a database table.
 
Filtering: Easily filter your data with the push of a button. Once a filter is set, all of your analysis is based on the filtered data. There is no limit to the number of filters that can be set. In addition, you can have multiple analyses open on the same dataset at once, each with a different set of filters.
 
Cross-tabs: Easily run cross tabs and frequency analysis by simply clicking on the variables that you’d like to cross tab.
 
Means Analysis: Easily run means analysis by simply clicking on the variables that you’d like to analyze.
 
What If Analysis: Perform ‘What if’ analysis by selecting any model that you have created. The user can then adjust the input variables to see what the predicted value would be, based on the model.
 
Univariate Analysis: Graphically view the distribution of a variable in your dataset just by clicking on that variable.
 
Automated Outlier Detection: Let the software automatically find outliers in your data. The outliers will then be shown to you so you can choose to handle them.
 
Correlation Analysis: View the correlations between any variables simply by clicking on those variables.
 
Variable Statistics: See the statistics on all of the variables in your dataset by clicking into the statistics tab.
 
View/Analyze Your Data: View your entire dataset and quickly scroll through and explore your data. Perform multiple types of analyses when viewing the data. Here you can sort your data by one or more variables, perform aggregations, decile, and perform searches to find specific records in your data.
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