Therefore, data architecture and enterprise architecture are linked in responding to change, while limiting unintended consequences. This webcast will introduce a data-centric approach to enterprise ...

Many organizations today are looking to modernize their data architecture as a foundation to fully leverage AI and enable digital transformation. Consulting firm McKinsey Digital notes that many ...

AI and multimodal data are reshaping analytics. Success requires architectural flexibility: matching tools to tasks in a ...

As McKinsey puts it: “Using data effectively requires the right data architecture, built on a foundation of business requirements. However, most companies take a technology-first approach ...

The headless data architecture is the formalization of a data access layer at the center of your organization. Encompassing both streams and tables, it provides consistent data access for both ...

This foundation should also minimize friction ... Automation can sidestep this problem by enabling teams to assemble a data architecture using easy-to-use, off-the-shelf tools.