Automated Data Preparation

Preparing data for analysis is one of the most important steps in any project—and traditionally, one of the most time consuming. Automated Data Preparation (ADP) handles the task for you, analyzing your data and identifying fixes, screening out fields that are problematic or not likely to be useful, deriving new attributes when appropriate, and improving performance through intelligent screening techniques. You can use the algorithm in fully automatic fashion, allowing it to choose and apply fixes, or you can use it in interactive fashion, previewing the changes before they are made and accept or reject them as you want.

Using ADP enables you to make your data ready for model building quickly and easily, without needing prior knowledge of the statistical concepts involved. Models will tend to build and score more quickly; in addition, using ADP improves the robustness of automated modeling processes.

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