To support data governance, you should aim to create a “data culture” within your organization. Leaders and teams who share a common understanding of data-related concepts (e.g., data definition, data ...

Companies that master basic data governance will be best positioned to extract true value from their information assets while minimizing costs and risks.

From misclassified data to AI use without adequate quality assurance, IT leaders looking to make the most of data-driven ...

Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

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 ...

To support reliable business decisions, data needs to be accurate and complete. There needs to be a trusted source of truth to provide consistent, accurate and authoritative data sources across an ...

DataOps and data governance are tightly interwoven and, as such, continue to grow in importance. The dangers of ‘dark’ data It all comes down to data quality. The downstream effects of data quality ...

In Achieving Trusted Data: Data Quality, Data Governance and MDM Trends, one of DBTA's latest webinars, data management experts examined the current best practices and key solutions for modernizing ...

In my experience working with data engineering and AI, I’ve come to realize that data governance isn’t just about compliance—it’s about trust.

Invest in High-Quality Data Collection Tools and Infrastructure Establishing sound data governance standards is essential before investing in the tools and infrastructure that support data collection, ...