The data architect is responsible for visualizing and designing an organization’s enterprise data management framework, which describes the processes used to plan, specify, enable, create ...

At this stage in the development of your data quality management framework development, it’s time to profile data for completeness, uniqueness, patterns, frequency and character.

Data management: The processes define how an organization’s data assets are created, stored, accessed, and used. They also establish the rules for how those assets will be shared with internal ...

Data lifecycle management covers the processes, policies, and procedures to ensure data is effectively managed through its lifecycle. It describes how data flows through the enterprise and beyond.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Comprehensive Risk Management: You will need to identify and mitigate a broad range of risks, especially those overlapping data privacy, security and AI ethics. 4.

By mapping the COBIT framework to your DR plan, you can facilitate governance and improve control. Here’s how you can go about doing that.