Sure, here is a potential data flow pattern for an audit process:
- Source data: Gather relevant data from various systems and databases, including financial transactions, employee records, and vendor information.
- Input validation: Check for errors or discrepancies in the data, such as duplicate entries, missing information, or incorrect formatting.
- Data cleansing: If necessary, clean the data by removing or transforming incorrect or irrelevant information.
- Analysis and testing: Use tools and techniques to analyze the data and identify potential issues or areas of concern, such as fraud or noncompliance.
- Reporting: Generate reports and dashboards to communicate findings and recommendations to stakeholders, including management, audit committees, and regulatory bodies.
- Follow-up: Track and monitor any remediation efforts or corrective actions taken in response to audit findings.
- Archive: Store relevant data and documentation for future reference and compliance purposes.
当然，这里是一个潜在的审计过程的数据流模式：
- 源数据： 从各种系统和数据库中收集相关数据，包括财务交易、员工记录和供应商信息。
- 输入验证： 检查数据中的错误或差异，如重复输入、信息缺失或格式不正确。
- 数据清理： 如果有必要，通过删除或转换不正确或不相关的信息来清理数据。
- 分析和测试： 使用工具和技术来分析数据，并确定潜在的问题或关注的领域，如欺诈或不遵守规定。
- 报告。报告： 生成报告和仪表板，将发现和建议传达给利益相关者，包括管理层、审计委员会和监管机构。
- 跟进：跟踪和监测任何补救措施。跟踪：跟踪和监测任何补救工作或针对审计结果采取的纠正措施。
- 归档： 储存相关的数据和文件，以便将来参考和遵守。
Sure, here is a basic data flow pattern for an approval process:
- Data is created or submitted by a user or system.
- The data is then sent to the appropriate approval queue based on pre-defined rules (e.g. based on department, type of request, etc.).
- An approver receives a notification that there is data waiting for their review and approval.
- The approver reviews the data and either approves or rejects it.
- If the data is approved, it moves to the next step in the process (e.g. implemented, published, etc.).
- If the data is rejected, it goes back to the original submitter for correction.
- A record of the approval process is created and stored for auditing and reporting purposes.
This pattern can be customized based on your organization's specific needs and processes.
当然，这里是一个审批流程的基本数据流模式：
- 数据由用户或系统创建或提交。
- 根据预先定义的规则（例如，根据部门、请求类型等）将数据发送到适当的审批队列中。
- 审批人收到通知，有数据等待他们审查和批准。
- 审批人审查数据并批准或拒绝它。如果数据被批准，它将进入流程的下一步（如实施、发布等）。
- 如果数据被拒绝，它将被送回原提交者处进行修正。
这个模式可以根据你的组织的具体需求和流程来定制。
本文由 Ivan Dong 创作，采用 知识共享署名4.0 国际许可协议进行许可
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最后编辑时间为: Jun 13, 2023 at 10:12 am