Implementing Data Governance in Your IFS Cloud Journey: A Thoughtful Analysis

Data Governance in IFS Cloud

Quality, Security, and Compliance without the fluff.


Implementing IFS Cloud without a solid data governance plan is like building a skyscraper on sand. Data governance isn’t about bureaucracy; it’s about making sure your data works for you, ensuring accuracy, security, and utility across your organization.

Why It Matters

Without proper governance, you risk making business decisions based on outdated information, exposing sensitive data to breaches, and failing to realize the full potential of your ERP investment. Good governance turns these risks into opportunities for growth.

The Four Pillars of Success

1. Data Quality

Poor data costs millions. Essential for financial reporting and inventory management.

  • Define clear data standards per area.
  • Implement validation rules to prevent bad entry.
  • Tip: Use the Data Quality Dashboard to monitor completeness.
2. Data Security

Protecting your most valuable asset from breaches and unauthorized access.

  • Implement Role-Based Access Control (RBAC).
  • Enable field-level security for sensitive info.
  • Set up audit trails to track access.
3. Data Integrity

Ensuring consistency and reliability throughout the data lifecycle.

  • Implement change tracking for master data.
  • Automate point-in-time recovery backups.
  • Use validation features to prevent corruption.
4. Data Compliance

Meeting GDPR, SOX, and industry standards to build trust.

  • Document handling procedures.
  • Conduct regular compliance audits.
  • Train employees on data protection.

The 4‑Phase Roadmap

Phase 1: Assessment

Identify critical assets and assess risks using Data Discovery tools.

Phase 2: Design

Configure security settings and validation rules via Solution Manager.

Phase 3: Implementation

Test policies, train users, and run pilots in a staging environment.

Phase 4: Continuous Improvement

Monitor quality dashboards and refine policies regularly.

Your Governance Team

  • Data Owner: Accountable (e.g., CFO).
  • Data Steward: Manager (e.g., Inventory Mgr).
  • Data Custodian: Tech control (e.g., IT).
  • Data User: Daily user (e.g., Sales Rep).
Success Metrics
  • Accuracy Rate: >98%
  • Resolution Time: ‑50%
  • Security Incidents: 0
  • Audit Findings: 0 Major

Governance FAQs

No. While the scale differs, small companies often face higher risks because one bad dataset (e.g., wrong inventory costs) can have a larger proportional impact on their bottom line.

IFS Cloud includes «Personal Data Management» features that allow you to anonymize data subject records upon request and set automatic retention policies to purge old data, ensuring you meet the «Right to be Forgotten.»

Yes. Governance should be centralized. You can define global validation rules (e.g., Part Numbering standards) that apply to all Sites, while allowing local sites to manage their specific transactional data.