I couldn’t find reliable, up-to-date public documentation for “IconCool Customer Data Manager.” Assuming you want a practical setup guide and best practices for a typical customer data manager (CDM) product, here’s a concise, actionable guide you can apply.
Setup Guide
1. Pre-install checklist
- System requirements: Windows Server 2019+ or Linux (Ubuntu 20.04+), 8–16 GB RAM, 4+ CPU cores, 100 GB disk.
- Database: PostgreSQL 12+ (recommended) or MySQL 8.
- Backups: Configure automated backups (daily full, hourly incremental).
- Network: Open required ports (app: ⁄443; DB: 5432) and use a private DB subnet.
2. Installation (assumed typical steps)
- Obtain installer/build and verify checksum.
- Install dependencies (runtime, DB drivers, .NET/Java runtime as required).
- Create database and a dedicated DB user with limited privileges.
- Run installer and supply DB connection, admin account, and license key.
- Configure TLS with a valid certificate for HTTPS.
- Start services and verify logs for errors.
- Apply initial patches and test core flows (create/read/update/delete customer).
3. Initial configuration
- Create roles & permissions: Admin, Data Manager, Analyst, Viewer.
- Import data: Use CSV/ETL tools; map fields; validate and deduplicate on import.
- Set retention policies: Configure data retention and purge schedules.
- Integrations: Connect CRM, helpdesk, analytics, and marketing tools via API/webhooks.
Best Practices
- Data model: Normalize where appropriate; use UUIDs for customer IDs.
- Deduplication: Implement fuzzy matching (email, phone, name) and manual merge workflows.
- Access control: Principle of least privilege; enable SSO and MFA for admin roles.
- Encryption: Encrypt data at rest (disk-level) and in transit (TLS 1.2+). Mask PII in UI where possible.
- Audit logging: Log CRUD operations with user IDs and timestamps; retain logs per compliance needs.
- Monitoring: Use health checks, metrics (CPU, DB connections, queue lengths), and alerting.
- Backups & DR: Test restores quarterly; keep offsite copies; document RTO/RPO targets.
- Compliance: Implement consent capture, data subject request processes, and data mapping for