Some Notes
in Non-Sense with 0 comment

Some Notes

in Non-Sense with 0 comment

Sure, here is a potential data flow pattern for an audit process:

  1. Source data: Gather relevant data from various systems and databases, including financial transactions, employee records, and vendor information.
  2. Input validation: Check for errors or discrepancies in the data, such as duplicate entries, missing information, or incorrect formatting.
  3. Data cleansing: If necessary, clean the data by removing or transforming incorrect or irrelevant information.
  4. Analysis and testing: Use tools and techniques to analyze the data and identify potential issues or areas of concern, such as fraud or noncompliance.
  5. Reporting: Generate reports and dashboards to communicate findings and recommendations to stakeholders, including management, audit committees, and regulatory bodies.
  6. Follow-up: Track and monitor any remediation efforts or corrective actions taken in response to audit findings.
  7. Archive: Store relevant data and documentation for future reference and compliance purposes.


  1. 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。
  2. 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。
  3. 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。
  4. 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。
  5. 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。
  6. 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。
  7. 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:

  1. Data is created or submitted by a user or system.
  2. The data is then sent to the appropriate approval queue based on pre-defined rules (e.g. based on department, type of request, etc.).
  3. An approver receives a notification that there is data waiting for their review and approval.
  4. The approver reviews the data and either approves or rejects it.
  5. If the data is approved, it moves to the next step in the process (e.g. implemented, published, etc.).
  6. If the data is rejected, it goes back to the original submitter for correction.
  7. 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.


  1. 数据由用户或系统创建或提交。
  2. 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。
  3. 审批人收到通知,有数据等待他们审查和批准。
  4. 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)。
  5. 如果数据被拒绝,它将被送回原提交者处进行修正。
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