With enterprises prioritizing secure AI deployments, it’s essential to ensure proprietary data is truly an asset, not a ...

Businesses are at a turning point on their AI journeys, shifting from experimentation to full-scale deployment. GenAI ...

Nomenclature is important. 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 ...

Organization-level metrics like data trust measuring data quality, user confidence, and governance. Platform and initiative level metrics like time to data, time to incident, tool ROI, and ...

In our increasingly digital economy, data is the oxygen that powers transformation, fuels artificial intelligence, drives ...

Imagine data governance as the management of a vast water canal system. Just as water flows from its headwaters through ...

This Checklist offers practical guidance: steps you can take to understand and respond to emerging global regulations, ...

Even the best tools and architecture won’t prevent data quality degradation without governance. Governance connects policies to practice, aligning standards, roles and responsibilities.

Data drives digital journeys that not only delight users but substantial business outcomes. Yet behind every successful ...

Salesforce’s long-rumored takeover of Informatica is on, complete with a price tag of $8 billion and an ambition to create “a ...

As AI accelerates both the volume and accessibility of data to investors, quality will become the critical issue and focus of governance efforts Data quality standards should include not only ...

Marc Benioff eyes up all those lovely data tools for AI push Salesforce is to buy Informatica, the enterprise data management ...