使用集合让一切井井有条
根据您的偏好保存内容并对其进行分类。
适用于 Oracle EBS 的 Looker Block
本页介绍了您可以从适用于 Oracle EBS (E-Business Suite) 数据的 Cortex Looker 块中获取哪些数据分析。借助适用于 Oracle EBS 的此 Looker 块,您可以快速且经济高效地在 BigQuery 上开始“订单到收款”(O2C 或 OTC) 运营报告之旅。使用或自定义此 Looker Block 可实现以下目的:
- 找出数据中的趋势和模式。
- 尽早发现潜在问题。
- 更快做出更明智的决策。
可用的数据洞见
Cortex Framework 中的 Oracle EBS 专用 Looker 区块提供了以下预定义信息中心:
- 订单状态:订单相关指标的概览,包括订单量、从预订到结算的订单流程状态明细,以及订单状态分析。
- 销售业绩:深入了解销售业绩出色的商品、类别、客户、业务部门和订单来源。
- 履单:跟踪一段时间内的履单表现,突出显示平均订单周期时间最长和存在履单问题的商品。
- 订单明细:查看符合一组过滤条件的部分销售订单的详细信息。例如,查看指定时间段内所有被屏蔽订单的详细信息。
- 结算和账单结算:账单数量和金额概览,包括月度趋势。此外,还会突出显示折扣最高的客户。
- 应收账款:分析当前应收账款和逾期应收账款,找出欠款金额和逾期付款时长最高的客户。
- 账单明细:查看满足一组过滤条件的部分账单的详细信息。例如,查看指定时间范围内所有待付账单的详细信息。
代码库
如需访问适用于 Oracle EBS 的 Cortex Looker 块,请访问其官方 GitHub 代码库:block-cortex-oracle-ebs。此代码库包含基本视图、探索和信息中心,可帮助您将 Oracle EBS 数据无缝集成到 Looker 环境中。此代码库为您提供了坚实的基础,可帮助您根据自己的具体需求创建自定义报告、可视化图表和信息中心。
部署
如需了解如何部署适用于 Oracle EBS 的 Cortex Looker 块,请参阅部署适用于 Cortex Framework 的 Looker 块。
完成这些说明后,请参阅下一部分中的部署的其他规范。
部署的其他规范
某些 Looker 块需要满足一些规范才能正常运行,具体取决于数据源。本部分介绍了适用于 Oracle EBS 的 Cortex Looker Block 的特殊设置。
需要永久性派生表
用于此代码块的 BigQuery 连接必须启用了永久派生表。如需了解详情,请参阅在连接上启用 PDT。
必需的用户属性
某些信息中心需要多个 Looker 用户属性才能正常运行。用户属性可为每位 Looker 用户提供量身定制的体验。Looker 管理员可以定义用户属性,然后将用户属性值应用于用户群组或具体用户。如需了解详情,请参阅管理设置 - 用户属性。
对于此 Oracle EBS 专用 Looker 屏蔽程序,Looker 管理员应创建以下用户属性,并准确设置值,如下所示:
必需的用户属性名称
|
标签
|
数据类型
|
用户访问权限
|
隐藏值
|
默认值
|
cortex_oracle_ebs_category_set_name
|
Cortex Oracle EBS:类别组合名称
|
字符串 |
修改
|
否 |
EBS 系统中使用的主类别组名称。如果使用 Cortex 测试数据,默认值为 BE_INV_ITEM_CATEGORY_SET 。
如需了解详情,请参阅测试数据部分。
|
cortex_oracle_ebs_default_language
|
Cortex Oracle EBS:默认语言
|
字符串 |
修改
|
否 |
US (或 EBS 系统中使用的主语言代码)。如果使用 Cortex 测试数据,可用值为 US (英语)和 ES (西班牙语)。如需了解详情,请参阅测试数据部分。
|
cortex_oracle_ebs_default_currency
|
Cortex Oracle EBS:默认目标币种
|
字符串 |
修改
|
否 |
USD 或所选币种(例如 EUR, CAD or JPY )。
|
cortex_oracle_ebs_use_test_data
|
Cortex Oracle EBS:使用测试数据 (Yes 或 No )
|
字符串 |
修改
|
否 |
如果使用 Cortex Framework 测试数据,请输入 Yes 。否则,请输入 No 。如需了解详情,请参阅测试数据部分。
|
每个信息中心用户都可以按照对用户账号设置进行个性化设置中的说明,对可修改的用户属性的值进行个性化设置。
测试数据
将可选测试数据与此代码块搭配使用时,请考虑以下要点:
其他注意事项
如需优化 Oracle EBS 专用 Looker 块的性能和功能,请考虑以下事项:
- BI Engine 优化:在 BigQuery 中启用 BI Engine 优化后,某些计算的性能会有所提升。
- Liquid 模板语言:某些常量、视图、探索和信息中心使用 Liquid 模板语言。如需了解详情,请参阅 Looker 的液体变量参考文档。
- 取消隐藏其他维度和测量参数:为简单起见,系统会隐藏许多维度和测量参数。如果您发现缺少任何有价值的信息,请在相关视图中将字段的
hidden
参数值设置为 No
。
如未另行说明,那么本页面中的内容已根据知识共享署名 4.0 许可获得了许可,并且代码示例已根据 Apache 2.0 许可获得了许可。有关详情,请参阅 Google 开发者网站政策。Java 是 Oracle 和/或其关联公司的注册商标。
最后更新时间 (UTC):2025-08-18。
[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-08-18。"],[[["\u003cp\u003eThe Cortex Looker Block for Oracle EBS provides pre-built dashboards for Order-to-Cash (O2C) operational reporting on BigQuery, enabling rapid and cost-effective insights into order status, sales performance, order fulfillment, billing, and accounts receivables.\u003c/p\u003e\n"],["\u003cp\u003eThe Looker Block offers predefined dashboards such as order status, sales performance, billing and invoicing, and account receivables, which are available within the Cortex Framework, that can be used immediately or customized for your needs.\u003c/p\u003e\n"],["\u003cp\u003eDeployment of the Looker Block requires enabling Persistent Derived Tables in the BigQuery connection and configuring specific user attributes like category set name, default language, and currency, along with an option for using test data.\u003c/p\u003e\n"],["\u003cp\u003eThe block is accessible via a GitHub repository, which includes essential views, Explores, and dashboards for integrating Oracle EBS data into Looker, and it also offers customization options for reports and dashboards.\u003c/p\u003e\n"],["\u003cp\u003eThe optional test data available has a defined timeframe, uses a specific date for calculations, and includes limited options for category sets, business units, as well as a predefined set of supported languages and currencies.\u003c/p\u003e\n"]]],[],null,["# Looker Block for Oracle EBS\n===========================\n\nThis page describes the insights you can get from the Cortex Looker\nBlock for Oracle EBS (E-Business Suite) data. Using this Looker Block\nfor Oracle EBS, you can jumpstart your Order-to-Cash (O2C or OTC) operational\nreports journey on BigQuery in a rapid and cost-effective manner.\nUse or customize this Looker Block to:\n\n- Identify trends and patterns in your data.\n- Spot potential problems early on.\n- Make better decisions faster.\n\nAvailable insights\n------------------\n\nThe Looker Block for Oracle EBS in Cortex Framework\noffers the following predefined dashboards:\n\n- **Order status**: Overview of order-related metrics, including order volume, a breakdown of the order flow status from booking to billing, and an analysis of order status.\n- **Sales performance**: Insights into top sales performers including items, categories, customers, business units, and order sources.\n- **Order fulfillment**: Tracks fulfillment performance over time, highlighting items with the longest average order cycle time and those experiencing fulfillment challenges.\n- **Order line details**: View details of a subset of sales orders satisfying a set of filter criteria. For example, see details of all blocked orders in a given timeframe.\n- **Billing and invoicing**: Overview of invoice volume and amounts including monthly trends. Also highlights customers with highest discounts.\n- **Accounts receivables**: Analyzes current and overdue receivables, identifying customers with highest outstanding amounts and duration of overdue payments.\n- **Invoice line details**: View details of a subset of invoices satisfying a set of filter criteria. For example, see details of all open invoices in a given timeframe.\n\nRepository\n----------\n\nTo access the Cortex Looker Block for Oracle EBS, visit its official\nGitHub repository: [**block-cortex-oracle-ebs**](https://github.com/looker-open-source/block-cortex-oracle-ebs).\nThis repository contains essential views, Explores, and dashboards that enable\nyou to seamlessly integrate Oracle EBS data into your Looker\nenvironment. This repository provides a solid foundation for creating custom\nreports, visualizations, and dashboards tailored to your specific needs.\n\nDeployment\n----------\n\nFor instructions about how to deploy the Cortex Looker Block for\nOracle EBS, see\n[Deploy Looker Blocks for Cortex Framework](/cortex/docs/looker-block-deployment).\n\nAfter completing these instructions, see\n[Additional specifications for deployment](/cortex/docs/looker-block-sap#additional_specifications_for_deployment)\nin the following section.\n\nAdditional specifications for deployment\n----------------------------------------\n\nDepending the data source, some Looker Blocks need some\nspecifications to work properly. This section describes special settings\nfor the Cortex Looker Block for Oracle EBS.\n\n### Persistent Derived Tables required\n\nThe BigQuery connection used for this block must have\n[Persistent Derived Tables](/looker/docs/derived-tables#persistent_derived_tables)\nenabled. For more information, see\n[Enabling PDTs on a Connection](/looker/docs/db-config-google-bigquery#creating_a_temporary_dataset_for_persistent_derived_tables).\n\n### Required user attributes\n\nSome dashboards require several Looker\n[user attributes](/looker/docs/admin-panel-users-user-attributes)\nto work properly. User attributes provide a customized experience for each\nLooker user. A Looker administrator defines a\nuser attribute and then applies a user attribute value to a user group or\nto individual users. For more information, see [Admin settings - User attributes](/looker/docs/admin-panel-users-user-attributes).\n\nFor this Looker Block for Oracle EBS, a Looker Admin\nshould create the following user attributes and\nset the values **exactly** as follows:\n\nEach dashboard user can personalize the values of the editable user attributes\nby following the instructions in [Personalizing user account settings](/looker/docs/user-account).\n\n### Test data\n\nWhen utilizing the **optional** Test data with this block, consider the\nfollowing key points:\n\n- **Timeframe**: The test data covers Sales Orders from January 1, 2021 to April 4, 2024 and Invoices \\& Payments from January 2, 2021 to March 31, 2024.\n- **Date Adjustment** : When using test data (user attribute `cortex_oracle_ebs_use_test_data` is set to `Yes`), the current date is replaced with March 31, 2024 for calculations. This ensures accurate calculations for dimensions like age of receivables.\n- **Category Set** : The only available `Category Set ID`/`Category Set Name` is `1100000425`/`BE_INV_ITEM_CATEGORY_SET`. The user attribute `cortex_oracle_ebs_category_set_name` should be set to `BE_INV_ITEM_CATEGORY_SET`.\n- **Business Unit** : Test data includes only one Business Unit named `BE1 operating unit`.\n- **Tax amount**: In Sales Invoices and Sales Invoices Daily Agg, the tax amount is 0 for all records.\n- **Intercompany** : For all records `Is_Intercompany` is set to `No`.\n- **Multiple languages and currencies** : To demonstrate different languages and\n currencies in the test data, during the [deployment of the Cortex Framework](/cortex/docs/deployment-step-five)\n for Oracle EBS, include `USD` and `EUR` as currency conversion targets, and\n `US` and `ES` as languages. The following is a sample snippet from the\n `config.json` file used in a deployment:\n\n \"OracleEBS\": {\n \"itemCategorySetIds\": [1100000425],\n \"currencyConversionType\": \"Corporate\",\n \"currencyConversionTargets\": [\"USD\",\"EUR\"],\n \"languages\": [\"US\",\"ES\"],\n \"datasets\": {\n \"cdc\": \"CORTEX_ORACLE_EBS_CDC\",\n \"reporting\": \"CORTEX_ORACLE_EBS_REPORTING\"\n }\n }\n\n### Other Considerations\n\nFor optimizing the performance and functionality of your\nLooker Block for Oracle EBS consider the following:\n\n- **BI Engine Optimization:** Some calculations perform better with [BI Engine Optimization](/bigquery/docs/bi-engine-query) enabled in BigQuery.\n- **Liquid Templating Language** : Some constants, views, Explores and dashboards use liquid templating language. For more information, see Looker's [Liquid Variable Reference](/looker/docs/liquid-variable-reference) documentation.\n- **Unhide additional dimensions and measures** : Many dimensions and measures are hidden for simplicity. If you find anything valuable missing, set field's `hidden` parameter value to `No` in the relevant views."]]