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Why does Salesforce data quality degrade over time?
As more users and integrations modify data, enforcement weakens. Validation rules may be bypassed or incomplete. Business meaning evolves faster than enforcement mechanisms. Ongoing governance is required.Takeaway: Data quality is a continuous process, not a one-time setup.
As more users and integrations modify data, enforcement weakens. Validation rules may be bypassed or incomplete.
See lessBusiness meaning evolves faster than enforcement mechanisms.
Ongoing governance is required.
Takeaway: Data quality is a continuous process, not a one-time setup.
Why do Salesforce permissions become harder to manage over time?
Permissions tend to grow organically. New permission sets are added to solve immediate needs, but old ones are rarely removed or consolidated. Overlapping access creates ambiguity and makes troubleshooting difficult. Regular audits and consolidation are necessary to maintain clarity.Takeaway: PermisRead more
Permissions tend to grow organically. New permission sets are added to solve immediate needs, but old ones are rarely removed or consolidated.
See lessOverlapping access creates ambiguity and makes troubleshooting difficult.
Regular audits and consolidation are necessary to maintain clarity.
Takeaway: Permissions require active governance, not passive accumulation.
Why do Salesforce Flows become brittle after multiple changes?
Flows lack modularity. Changes ripple across paths because logic is tightly coupled visually. Without versioning discipline, stability declines. Breaking Flows into smaller units helps.Takeaway: Visual tools still require architectural discipline.
Flows lack modularity. Changes ripple across paths because logic is tightly coupled visually.
See lessWithout versioning discipline, stability declines.
Breaking Flows into smaller units helps.
Takeaway: Visual tools still require architectural discipline.
Why do Salesforce tests pass but logic fails in production?
Tests don’t always mirror real data or permissions. Edge cases go untested. Production reveals gaps. Better test realism helps.Takeaway: Passing tests don’t guarantee correctness.
Tests don’t always mirror real data or permissions. Edge cases go untested.
Production reveals gaps.
Better test realism helps.
See lessTakeaway: Passing tests don’t guarantee correctness.