Although planning and executing a data strategy framework is a process that requires doing design and decisions on many different levels (e.g. data management principles, architecture, culture and ...

However, constructing AI-ready data platforms is more than just a technical endeavor — it requires a strategic, multidimensional approach touching on architecture, governance, talent and ...

Data architecture describes the structure of an organization’s logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF).

In this article, I will give you a synopsis of what a framework for this might look like in action at a high level. Step one: Understand and implement first-party data best practices.

Singapore has introduced a framework designed to resolve challenges businesses typically face when sharing data assets, such as the need to ensure regulatory compliance and a lack of standardised ...

Contexti Big Data Self-Assessment Framework helps enterprises determine their 'next steps' in adopting big data analytics strategy, technology and pra ...

The Pentagon’s new data, analytics and artificial intelligence adoption strategy establishes a “hierarchy of needs” to help the department utilize emerging technologies.