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First Look - Rapid Insight Analytics


 
  
Rapid Insight is expanding into fund raising and other areas. Its tools include Rapid Insight Analytics - a data mining workbench, and Veera - a data preparation tool. Note: Rapid Insight should not be confused with Rapid-I, developers of RapidMiner.


Date:

JT on EDM, James Taylor, Mar 28, 2012

(Editor: Don't confuse Rapid Insight with Rapid-I, developers of RapidMiner. These are two different companies, although in the same analytics space).

Rapid Insight Rapid Insight was founded 10 years ago to develop tools that were easier for analysts to use to quickly extract meaning from data. Rapid Insight has been focused in higher education until recently and is expanding into fund raising and other areas.

Rapid Insight Analytics is a pure data mining or predictive analytic workbench designed to support directed data mining using the maximum amount of automation. To complete the analytic workbench, Rapid Insight Veera enables users to prepare analytic datasets. Desktop versions are available for both products and a client-server version is available for Veera.

Veera is thus the first tool used in most analytics efforts. It is data agnostic and allows data to be pulled from multiple data sources of multiple types. Having established some connections to data sources (database, text files, Excel etc), the user can view the data structures in these sources and access them. Many jobs can then be managed, each containing a set of data sources and a visual workflow. These jobs can handle the usual kinds of tasks like filtering, cleansing, aggregation, de-duplication, merges, transformations etc. These jobs can output files suitable for the Rapid Insight Analytics workbench, write transformed data back to the database, score records using an existing model and so on. When running against data in a database, Veera will do as much as it can in-database by generating SQL for filters, sorts, aggregations etc.

Rapid Insight Analytics' projects start with an analytic dataset. The tool automatically assesses the variable types (continuous, binary etc) as well as missing values. It displays a wizard interface that shows the various stages of model building - variable statistics, data analysis, univariate and multivariate analysis, automated mining, variable creation, various kinds of analysis and then modeling, model comparison, what-if and reporting. Each tab within the wizard is a simple interface with many reporting and visualization tools at each level. A custom report can be assembled for a project from these various graphs - the graphs can be added to a set as they are viewed and that set can be turned into a report or exported to PPT.

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