Planing Risks Short Flashcards
What are the risks of excessive customization?
Unused features, complex dependencies, conflicts with Salesforce updates
What strategies can mitigate customization risks?
- governance frameworks with clear
- customization guidelines,
- adopt user-centered design,
- regularly review
- refactor custom code
- remove outdated or redundant customizations
What are the data security and privacy risks?
Potential breaches, unauthorized access, non-compliance with data privacy laws, lack of customer trust, legal consequences, penalties
What strategies can mitigate data security and privacy risks?
Use strong authentication and authorization practices, implement event monitoring, use data encryption features like Salesforce Shield, employ data masking techniques for sensitive data in sandboxes
What are the governance risks?
Inadequate documentation, inconsistent development practices, inadequate testing, poor data quality
What strategies can mitigate governance risks?
Maintain comprehensive documentation, establish design standards, implement rigorous testing procedures and coding standards, use a data governance framework to improve and maintain data quality
What are the project management risks?
Inadequate planning, poor requirement gathering, scope creep, budget overruns, missed deadlines, missed objectives
What strategies can mitigate project management risks?
Develop a comprehensive project plan, use thorough requirement gathering processes with key stakeholders, manage scope creep through a Change Control Board, systematic evaluation of change requests
What are the development risks?
Technical debt, resource limitations, integration failures, affect development tasks and application functionality
What strategies can mitigate development risks?
Regularly review and refactor custom code, prioritize and assign development tasks based on impact and urgency, thoroughly test integrations in a controlled environment
What are the testing risks?
Insufficient test coverage, manual testing errors, lack of realistic test data, mask potential issues in production
What strategies can mitigate testing risks?
Implement comprehensive testing strategies, incorporate automated testing tools, use data masking techniques, use separate sandbox environments or scratch orgs for development and testing