User manual BUSINESS OBJECTS PREDICTIVE ANALYSIS 6.5.1

[. . . ] Predictive Analysis User's Guide Predictive Analysis 6. 5. 1 2 Predictive Analysis User's Guide Copyright Copyright © 2004 Business Objects. All rights reserved. Trademarks Business Objects, the Business Objects logo, Crystal Reports, and Crystal Enterprise are trademarks or registered trademarks of Business Objects S. A. or its affiliated companies in the United States and other countries. All other names mentioned herein may be trademarks of their respective owners. [. . . ] These can be used in rules to detect when it is time to regenerate a model in statistics-only refresh mode or to trigger model regeneration when one whose refresh is unscheduled (for example, used for scoring lists, but not for statistics calculation). NOTE Model based metrics does not roll-up in the past as you can get only one value based on the last model refresh information. Click Add and select the New model based metric. . Models 34 Predictive Analysis User's Guide The Create Metric window is displayed. 2. Select a model and an influencer under it. Select the Aggregation for the model and the influencer. NOTE Refer to table on page 36 for available aggregations. These aggregations are correspond to either model, influencer or bin level statistics that you select. Click Next to now create the attributes. Configuring Predictive Analytics Predictive Analysis User's Guide 35 On the attribute window you have to define the various attribute to the new metric. It picks the combination between the model and the aggregation. The duration of the time periods or slices that make up a metric is called the grain. The metric grain can vary from small spans of time to longer and is dependent on the calendar -- the finer the grain, the shorter the time period between metric value calculations. The list that appears is determined by the installation setup. Refresh Type allows you to specify on what basis want your metric refreshed. It can be: · With Model: this refreshes the new metric as and when the model is refreshed. The model has already been selected for the metric. · Independent: this refreshes the metric independent of any other parameters used by scheduler and rules. · External Refresh Storage options Because metric values require very little storage, it usually makes sense to store the full metric history so that trending can be done. You can, however, also choose only to store the most recent value or disable the storage. Parameters The Default Smoothing list allows you to specify the statistical transformation that is used in reporting on the metric when the user accepts the Default Smoothing selection in the Smoothing list. The nature of the data you are probing and which questions you hope to answer determine the type of smoothing that is most suitable. Available transformations are determined by your administrator during installation and configuration. Click the drop down list and select the smoothing type. The Trend Color chooser allows you to specify which direction of change in metric values is interpreted as positive and which is interpreted as negative. You can choose whether increases are shown in green and decreases in red. [. . . ] If you want to use the Influencer Detail or Lift Chart analytics, one or more of your goals must be a Derived Variable. Appendix Glossary of Terms appendix 74 Predictive Analysis User's Guide The Glossary of terms provides a non-exhaustive list of commonly-used terms in Predictive Analytics. Term Binning Definition Binning is a way of compressing the range of values for a variable into a smaller number (for example, <=20) of categories or "bins". Change is a subtraction between 2 values of a single metric. Generic formula is: Metric value Current Period - Metric value Prior period Continuous Data Type Discarded Samples Continuous is the default data type corresponding to numeric variables. [. . . ]