Enterprise governance has to face combined changes in the way business times and spaces are to be taken into account. On one hand social networks put well-thought-out market segments and well planned campaigns at the mercy of consumers’ weekly whims. On the other hand traditional fences between environments and IT systems are crumbling under combined markets and technological waves.
To overcome these challenges enterprises strategies should focus on four pillars:
- Governance: the immersion of enterprises in digital environments and the crumbling of traditional fences require in-depth changes in information modeling and knowledge management schemes.
- Data and Information: massive and continuous inflows of data calls for a
seamless integration of data analytics (perception), information models (reasoning), and knowledge (decision-making).
- Security & Confidentiality: new regulatory environments and costs of privacy breaches call for a clear distinction between data tied to identified individuals and information associated to designed categories.
- Innovation: digital environments induces a new order of magnitude for the pace of technological change. Making opportunities from changes can only be achieved through collaboration mechanisms harnessing enterprise knowledge management to environments intakes.
- Ontologies & Models
- Conceptual Models & Abstraction Scales
- Models & Meta-models
- Ontologies & Enterprise Architecture
- Ontologies as Productive Assets
- Modeling Paradigm
- Views, Models, & Architectures
- Abstraction Based Systems Engineering
- EA & MDA
- EA: The Matter of Layers
- EA: Maps & Territories
- EA: Work Units & Workflows
- Models Transformation & Agile Development