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Solutions Historical Analytics Subject AreaAvailabilityThis subject area is available in all editions of Oracle CRM On Demand. Business PurposeIn this subject area, you can analyze solutions by product, product category, service request, and expiration date dimensions, as well as the relationship between solutions and their associated service requests. You can also analyze important solution and related service requests metrics that help your company to evaluate the status and effectiveness of solutions. Relationship TypeMany-to-Many DimensionsThis subject area has the following dimensions:
MetricsThe complete list of metrics for this subject area is as follows:
Usage NotesOptimized Custom Fields for V3 Analytics onlyThis subject area has custom fields that are optimized to reduce the query time when they are used in filters. Optimized custom fields are in folders where the name ends with Optimized Custom Fields or Optimized Custom Metrics, such as Account Optimized Custom Fields and Opportunity Optimized Custom Metrics. Numeric custom fields, such as those with a type of CUR, INT, or NUM, are available as metrics in the optimized custom metrics folder, if the record type is the driving object in a specific subject area. For example, the Account record type is the driving object in the Account History subject area. The following record types have optimized custom fields and metrics coverage in Oracle CRM On Demand and one or more of these record types might be present as dimensions or facts in this subject area:
Optimized Filter Fields此主题区域具有某些经过优化的字段,在筛选器中使用时可减少查询时间。经优化的字段以单词代码或 UTC 结尾。例如,客户维度具有“客户类型”字段。还有“客户类型代码”字段,这是“客户类型”字段的优化版本。同样,存在“索引日期 UTC”字段,这是“索引日期”字段的优化版本。在筛选器中使用优化字段可生成更加快速的查询。这种方法比使用标准字段快。有关使用优化的筛选字段的信息,请参阅使用优化的筛选字段。此主题区域的以下维度都拥有优化的筛选字段:
Usage NotesThe Service Request dimension includes a Book hierarchy, which enables you to analyze metrics and related attributes at any level. |
已发布 9月 2017 | Copyright © 2005, 2017, Oracle. 保留所有权利。Legal Notices. |