Here’s the essential WHO-WHAT-WHEN-WHERE-WHY-HOW information about Data Governance, some short answers to basic questions, and links to more detailed information located throughout this website.

The following pages are your guide to the basics of Data Governance. We further expound on these ideas in our popular Practical Guidance blog series.

Your guide to the basics of Data Governance including Definitions, Goals and Principles, Roles and Responsibilities, our Glossary, and more. We further expound on these ideas in our popular Practical Guidance blog series.

“Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”

Data Governance will define accountabilities in a manner that introduces checks-and-balances between business and technology teams as well as between those who create/collect information, those who manage it, those who use it, and those who …

Data Governance principles help stakeholders come together to resolve the types of data-related conflicts that are inherent in every organization. Here are Data Governance Guiding Principles from the Data Governance Institute, along with comments.

Here you will find the information you need to understand not only Data Governance, but other types of programs and projects, such as Master Data Management, Data Architecture and Modeling, Data Privacy and Compliance, ETL, SOA, the management of Sensitive and Personal Information, Data Warehousing and Marts, Business Intelligence, and other ...

These topics address what you do when you’re doing Data Governance. We’ve started with high-level overviews of a few basic topics: Roles & Responsibilities, Alignment, Communications, Decision-Making, and Issue Resolution.

The terms Data Governance and Data Stewardship are sometimes used interchangeably, but there is actually a difference. Data Governance brings together cross-functional teams to make interdependent rules or to resolve issues or to provide services to data stakeholders.

The best Data Governance programs proactively strive to stop data-related problems before they begin by reducing ambiguity, establishing clear accountabilities, and disseminating data-related information to all Data Stakeholders.