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It is important to understand the non-technical or “cognitive” dimensions of Knowledge Management, dimensions that describe the learning processes of an organization and its acquisition
The Semantic Web and semantic technologies can link to an organization’s Information Architecture for a more holistic view of the enterprise, and for richer understanding
Finding and securing sufficient and sustained funds for data management, data governance, data quality, business intelligence, and analytics programs can be challenging. Follow these steps
As the discipline of enterprise architecture continues to evolve, the challenges of the practice of enterprise architecture remain. Many organizations struggle with accepting the need
A Data and Analytics platform is a sub platform of the Enterprise Digital Business Technology platform. It contains enterprise data management and analytical capabilities. Building
The Zachman Framework for Enterprise Architecture classifies and organizes information that is important to management as well as for development, and includes all the artifacts
Transformative initiatives should be based on enabling capabilities, using architecture elements to define requirements and improve agile delivery,and support effective data management. Introduction Marketers and
A digital ledger, a leading-edge technology, can make financial transactions faster, safer, and paperless The technology behind online cryptocurrencies such as bitcoin, attracts much attention
Digital technologies have created empowered customers, forcing companies to adapt and focus on their customer experiences. Enterprise and business architecture can support these efforts. along
The Zachman Framework is a thinking tool, and not a methodology. Its abstract nature has led to the proliferation of some myths that hinder its
Blockchain is a combination of technology and processes used to allow the recording of transactions and their metadata permanently and with validation. It is an
Data services support the emergence of data offices and data-centric architectures to allow organizations to develop opportunities for improved data management and usage Data Service
