IFS-ERP CRIMS customization of IFS Cloud

Definition of Data Governance

Data Governance in IFS Cloud: Definition, Framework, and Best Practices
Strategic Framework

Data Governance in IFS Cloud

A comprehensive guide to ensuring data quality, security, and compliance throughout the lifecycle.

Data governance is not just IT bureaucracy; it is the backbone of your ERP investment. In the context of IFS Cloud, it aligns technical capabilities with business objectives, ensuring that your data supports digital transformation rather than hindering it.

Key Components

Effective governance in IFS Cloud rests on four pillars. Neglecting one destabilizes the whole structure.

1. Data Quality

Automated validation and cleansing. Using IFS Cloud to profile data and handle exceptions before they impact reporting.

2. Data Security

Role-based access controls (RBAC) and encryption. Aligning IFS Cloud security with ISO 27001 and GDPR standards.

3. Data Integrity

Versioning and immutable audit trails. Ensuring consistency through backup strategies and change management workflows.

4. Confidentiality

Compliance-driven handling of PII. Utilizing data masking and anonymization capabilities within the ERP.

The Governance Process

Step 1: Assess Maturity

Use analytics to identify gaps in quality and compliance. Establish a baseline.

Step 2: Define Policies

Develop enforceable standards for ownership, retention, and security protocols.

Step 3: Establish Stewardship

Assign data domains to business units. Train teams on accountability.

Step 4: Implement Controls

Configure validation rules and cleansing workflows inside IFS Cloud.

Step 5: Deploy Security

Map policies to GDPR/HIPAA requirements using built-in security features.

Step 6: Monitor & Optimize

Continuously refine processes based on performance metrics and feedback.

Why Do This?

  • Better Decisions: Reliable data feeds accurate analytics.
  • Efficiency: Less time fixing errors, more time working.
  • Customer Trust: Personalized, error-free engagement.
  • Reduced Cost: Automated management reduces overhead.
Strategic Goals
  • Ensure Data Quality
  • Protect Security
  • Meet Compliance (GDPR)
  • Build Stakeholder Confidence
Need a Roadmap?

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Frequently Asked Questions

Data Management is the technical execution (backup, storage, integration), while Data Governance is the strategy (policies, roles, definitions). Governance sets the rules; Management follows them.

Yes. IFS Cloud includes features for Data Management, Information Lifecycle Management (ILM), and specialized tools like the Data Migration Manager and Data Quality Dashboard to support your governance framework.

It is a shared responsibility. IT handles the infrastructure and security, but Business Units (Finance, SCM, HR) must act as Data Stewards, owning the quality and definition of the data they generate.