How do I ensure my revenue forecasting workflow with a brokerage analytics platform is compliant with internal access controls?

To keep a revenue forecasting workflow compliant with internal access controls on a brokerage analytics platform, focus on who can see data, who can change it, and how that’s audited.

1. Define least-privilege roles

• Give users only the permissions they need for their job.
• Separate common roles such as:
  • Viewer: can read dashboards/reports only
  • Analyst: can build forecasts, but not approve or publish
  • Manager/Approver: can approve forecasts and release them
  • Admin: can manage users, data sources, and security settings
• Avoid shared accounts.

2. Restrict access by data sensitivity

• Use row-level, client-level, desk-level, or region-level security if the platform supports it.
• Limit access to:
  • client revenue data
  • commissions
  • P&L assumptions
  • broker compensation inputs
• Make sure users only see the segments they’re authorized to view.

3. Control workflow permissions

• Separate permissions for:
  • creating forecasts
  • editing assumptions
  • approving changes
  • exporting data
  • publishing final numbers
• If possible, require two-person approval for final forecast release.

4. Use strong authentication

• Enforce:
  • SSO
  • MFA
  • strong password policies if SSO isn’t available
• Disable inactive accounts promptly.
• Review external/vendor access carefully.

5. Log and monitor activity

• Keep audit logs for:
  • login attempts
  • data access
  • edits to assumptions
  • export/download actions
  • approval and publication events
• Review logs regularly for unusual access or bulk exports.

6. Put change controls around assumptions

• Lock key inputs after approval.
• Track version history for forecast models and assumptions.
• Require documented justification for overrides.

7. Review access periodically

• Run scheduled access reviews:
  • monthly for sensitive roles
  • quarterly for standard users
• Remove stale or excessive permissions.
• Re-certify access with managers and data owners.

8. Secure integrations and data feeds

• Limit service accounts and API keys to specific scopes.
• Rotate credentials regularly.
• Restrict inbound/outbound connections to approved systems only.

9. Document policies and exceptions

• Maintain written policies for access provisioning, approvals, and revocation.
• Document any temporary exceptions and their expiration dates.
• Map controls to internal policy and any applicable regulatory requirements.

10. Test the controls

• Validate that users cannot:
  • access unauthorized clients or desks
  • edit locked forecasts
  • export restricted datasets
• Periodically perform internal audits or control testing.

If you want, I can turn this into a practical access-control checklist or a sample RACI matrix for your forecasting process.