Don’t scale in the dark. Benchmark your Data & AI maturity against DAMA standards and industry peers.
Data catalog and data dictionary are two of the most conflated terms in data management. They are both about metadata. They are both used to
Amazon S3 was launched on 14 March 2006, Pi Day, as the first generally available AWS service. (Source: Amazon Web Services, “Amazon S3 Launch,” aws.amazon.com/blogs/aws/amazon_s3,
Infrastructure as code solved the provisioning consistency problem. Teams could define exactly what infrastructure should exist and deploy it repeatedly from version-controlled configuration. But infrastructure
Data is a company’s most valuable asset, but without proper governance it quickly becomes a liability. According to McKinsey, 72 percent of B2B companies struggle
The Chief Data Officer is one of the fastest-growing executive roles in the modern enterprise. In 2015, only 6 percent of organizations had one. By
In January 2026, most teams face the same squeeze. Data keeps spreading across clouds, apps, and old systems, users want answers faster, and the cloud
Managing data in the cloud is not the same problem it was five years ago. Organizations now operate across multiple cloud providers, dozens of data
Teams buy tools fast, then try to architect later. A warehouse here, a lake there, a feature store bolt-on, and a new GenAI gateway because
Many teams think moving to the cloud equals Data Platform Modernization. The logic sounds simple: lift the warehouse, rebuild a few pipelines, call it done. That’s just legacy
Enter the game-changing world of Enterprise Data Architecture (EDA), a powerful strategy that’s akin to a map guiding businesses through the maze of data processes,
