The data governance world just got a major shake-up. In a move that consolidates decades of standards development under one ...

Srinivasa KalyanVangibhurathachhi is an experienced technology professional who has spent nearly two decades working in data ...

Feature Jun 16, 20259 mins Data and Information SecurityIT Governance Security ...

Generative AI will automate tasks like data cataloguing, anomaly detection, and data governance. This will improve data quality, increase accessibility, and enhance efficiency.

Data mesh: the next big data architectural shift – Data is at the heart of everything that we do, and that trend isn’t slowing down Data storage problems and how to fix them – Digitising data storage ...

The global data mesh market is set for explosive growth, with projections indicating a surge to $4.27 billion by 2031. This remarkable expansion, driven by the growing demand for democratization ...

Figure 2: Data governance model modified and extended from the data quality within a lifecycle approach model (taken from reference 2, Figure 15). The crucial concept is that data quality is only ...

“Measuring data security and governance effectiveness requires tracking three essential OKRs: time-to-access for data requests, amount of data without designated owners, and proportion of ...

Data governance is essential for effective data management. It establishes a framework for structuring and organizing information—including how it’s defined, cataloged, stored and accessed ...

As a result, an operational policy was developed to outline key governance areas, roles and responsibilities. The Data Governance Council was formed in 2019. However, with the rise of COVID in the ...