Safeguarding data is a fundamental function of data governance—and that extends to the data used by developers. But how do you maintain test data utility when masking sensitive information?

* Next, the Data Governance Maturity Model is borne of the best practices from industry and solution providers, balanced against the “ideal requirements” provided by academia.

The goal of data governance is to ensure your organization’s data is business-ready: high-quality, accessible, secure, and ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Data governance, data integrity, and data quality are all widely used terms, but what do they actually mean and how are they connected? The purpose of this article is to provide a structured model for ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

What is data modeling, and why does it break down? Fundamentally, data modeling involves arranging data in a structured way to improve accessibility and use for a range of applications and analyses.

Today we share: Hospital Data Governance System Supports Smart Hospital Construction Plan (35-page PPT) The report consists ...

Data governance encompasses the people, processes, and technologies used to guide how data stewards and data consumers interact with university data assets. Data governance provides guidance on how to ...