Master Data Management: The role of Data Stewards and Owners
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership undermines the reliability of enterprise systems.
INSIGHTS & PRACTICE
Practical guides to client enquiries, CRM, contracts, service delivery and responsible AI.
10 publications
The transition to decentralized architectures and AI integration has revealed a critical bottleneck: the lack of clear data ownership undermines the reliability of enterprise systems.
Transitioning from point-to-point integrations to standardized EIP patterns, API Gateways, and managed Master Data Management to preserve corporate data integrity.
Successful migration to modern intelligent ECM systems requires mandatory design of fallback rules in workflows and the creation of a high-quality training corpus for IDP models.
How to build a corporate ECM architecture that combines flexible approval workflows with ISO 15489-1 requirements and long-term legal validity of electronic signatures.
How to distinguish simple digitalization from a real need for ECM? An honest filter based on ISO and NIST standards for CIOs, COOs, and legal departments.
A clear distinction between the architectural differences of ECM, DMS, and EDM according to ISO standards and legislation to prevent errors in IT system design.
Why replacing a full ECM system with simple file storage creates critical legal risks when integrating with government services, and how to build a resilient corporate document management architecture.
Documents store facts, while business processes manage actions. Distinguish between DMS/ECM and BPM to avoid data silos and securely integrate AI agents.
AI analytics is transforming master data management (MDM) in 2026, ensuring accuracy and efficiency in enterprise system integration.
While monolithic ERP systems are powerful, they often lack flexibility; an integrated landscape of specialized systems built on a unified API layer and MDM offers a compelling alternative.