příprava projektu skladové výměny dat s dodavateli
1. Define Project Scope and Objectives
2. Identify Key Stakeholders
3. Assess Technical Requirements
4. Establish Communication Channels
5. Define Data Validation and Quality Standards
- Create a document outlining the guidelines and standards for data validation and quality control
- Include instructions on how to validate data, identify errors, and ensure accuracy and consistency
- Specify the expected format, structure, and content of the exchanged data
- Define the criteria for data quality, such as completeness, accuracy, timeliness, and consistency
- Determine how often data validation should be performed, considering the volume and frequency of data exchanges
- Specify the methods and tools to be used for data validation, such as automated checks, manual reviews, or third-party solutions
- Establish a process for identifying and correcting errors, including assigning responsibilities and timelines for resolution
- Document the steps to be taken when errors are identified, including communication with suppliers and updating the exchanged data
6. Develop Data Exchange Agreements
7. Implement Data Security Measures
8. Test and Validate Data Exchange
- Create test scenarios for data exchange processes and systems
- Execute test scenarios and record any issues or errors encountered
- Analyze test results and identify areas for improvement
- Make necessary adjustments or fixes to data exchange processes and systems
- Repeat testing process until all issues are resolved and integration is seamless
- Select a representative sample of transactions to validate
- Compare the data exchanged in the sample transactions with the expected results
- Verify that all necessary data is included and accurate in the exchanged data
- Document any discrepancies or errors found during validation
- Take corrective actions to address any discrepancies or errors
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