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 ...

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.

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

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 ...

Data governance framework. Data governance may best be thought of as a function that supports an organization’s overarching data management strategy. Such a framework provides your organization ...

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