您要查找的是不是：
- DO YOU WANT TO SAVE THE CUSTOMER DATA? 你想保存客户的资料吗?,放弃。
- You add expansions for custom data types. 您可以添加展开自定义数据类型的行为。
- Do we have established policies that protect customer data? 我们是否制定了保护客户数据的策略?
- It provides editable customer data and transaction records. 该软件提供可编辑的消费者数据和事务记录。
- The index of the variable to get the custom data for. 用于为其获取自定义数据的变量的索引。
- However, customer data can be shared by sales people and sales managers. 但是,客户数据可以在销售人员和销售经理间共享。
- This method is called on a control to allow it to load custom data into itself. 要让控件能将自定义数据加载到自身中时,会对控件调用此方法。
- Question: How do I pass custom data types from a service to a client? 问:我如何将自定义数据类型从服务传递到客户端?
- And do any custom data migration work in your own after the update is finished. 下载更新,并在完成更新后自己执行任何自定义数据迁移工作。
- Detailed analysis of your customer data will provide you insight into their needs and wants. 详细分析客户数据提供您洞察他们的需求和要求。
- If you already have a customer data source, you can use it to track the response to your marketing campaign. 如果已经有客户数据源,则可使用它来跟踪营销活动的响应。
- Rather than using index cards, they store customer data on disk or magnetic tape, one record per subscriber. 发行人把订户的数据存在磁盘或磁带上，为每个订户准备了一个记录，而不是使用索引卡片。
- The process of examining attitudinal and behavioral customer data to predict and influence customer buying patterns. 顾客的态度和行为数据的检验过程，以预测并影响顾客购买方式。
- It usually has built-in security features that help protect against unauthorized access to customer data. 通常具有内嵌的安全性特征，保护客户数据拒绝未授权访问。
- Customer information update and maintenance to ensure all customer data correctly in SAP. 系统客户信息更新和维护，已确保所有客户信息正确。
- We will not partake in misleading statements, advertising and we undertake to keep confidential all customer data. 我们不会发表不符合法规的声明、广告，并且承诺对所有客户的资料保密。
- QFC apparently doesn't sell customers' data to third parties, however. 但是QFC显然没有出卖顾客的信息。
- You can also use profiles and filters together to create customized data views. 您也可以使用配置文件和过滤器一起创建定制的数据视图。
- These technologies all require investment in expensive hardware and custom data acquisition packages. 这些技术都需要投资购买昂贵的硬件和定制的数据获取包。
- Processing enormous customer data sets is ineffective with current compute resources due to elongated cycle times and intense manual effort. 使用当前的计算资源处理大量的客户数据集的效率很低,因为周期太长,并且需要太多的人工干预。
