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示例:使用高级客户预测和数据处理引擎分析产品成本和利润率
一家公司希望使用客户预测来分析其产品的成本和利润率。但是,“高级客户预测事实”提供的预定义评测仅有助于客户经理从订单、业务机会和销售协议中查看他们产品的基于数量和收入的度量。需求计划员通常会查看客户之间的产品成本,以及特定客户产品组合的利润率。了解未来时期的收入和利润率有助于他们为所有客户规划成本和折扣策略。在本例中,我们将了解如何为高级客户预测添加新评测,并使用数据处理引擎计算这些自定义评测的值。

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一家公司希望使用客户预测来分析其产品的成本和利润率。但是,“高级客户预测事实”提供的预定义评测仅有助于客户经理从订单、业务机会和销售协议中查看他们产品的基于数量和收入的度量。需求计划员通常会查看客户之间的产品成本,以及特定客户产品组合的利润率。了解未来时期的收入和利润率有助于他们为所有客户规划成本和折扣策略。在本例中,我们将了解如何为高级客户预测添加新评测,并使用数据处理引擎计算这些自定义评测的值。
| 适用于:Lightning Experience |
| 适用于:Enterprise、Unlimited 和 Developer Edition |
以下是需求计划员的要求。

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