Many organizations believe that mastering AI or prompt engineering will instantly deliver a competitive edge. However, the harsh reality is that true transformation depends on the quality of your ...
In today’s volatile business environment, building a resilient supply chain is no longer optional. Disruptions such as natural disasters, geopolitical tensions, and supplier failures can have ...
Consolidated shipment in IFS Cloud is a structured approach to outbound logistics that ensures efficiency, accuracy, and seamless coordination. By combining multiple customer orders into a single ...
With over 17 years of ...
This comprehensive guide outlines how to create an effective data product vision during Phase 0 of IFS Cloud Data Mesh implementation, establishing the foundation for treating data as a ...
Committee Structure Overview A Data Governance Committee provides oversight for IFS Cloud Data Mesh implementations. It brings together representatives from each business domain to make decisions ...
As organizations continue to evolve their reporting needs in the cloud era, IFS Cloud is making significant changes to its reporting toolset. One of the most notable updates is the phasing out of ...
A Data Mesh is a decentralized approach to managing data. It treats data as a product, making domains responsible for their own data. Combined with IFS Cloud’s project ...
Discover how to transform your procurement processes in IFS Cloud using Data Mesh principles. This guide provides a detailed, step-by-step approach to defining procurement as a data domain, ...
Definition and Core Principles Data mesh reimagines data management by splitting ownership, giving each domain control over its own data, treating information as a product, and relying on federated ...
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.
Effective governance in IFS Cloud rests on four pillars. Neglecting one destabilizes the whole structure.
Automated validation and cleansing. Using IFS Cloud to profile data and handle exceptions before they impact reporting.
Role-based access controls (RBAC) and encryption. Aligning IFS Cloud security with ISO 27001 and GDPR standards.
Versioning and immutable audit trails. Ensuring consistency through backup strategies and change management workflows.
Compliance-driven handling of PII. Utilizing data masking and anonymization capabilities within the ERP.
Use analytics to identify gaps in quality and compliance. Establish a baseline.
Develop enforceable standards for ownership, retention, and security protocols.
Assign data domains to business units. Train teams on accountability.
Configure validation rules and cleansing workflows inside IFS Cloud.
Map policies to GDPR/HIPAA requirements using built-in security features.
Continuously refine processes based on performance metrics and feedback.
Modern governance goes beyond spreadsheets. Integrate governance with CI/CD pipelines, adopt a Data Mesh architecture for agility, and leverage GEO AI for smarter metadata management.