Data governance is the process of managing the availability, usability, integrity, and security of an organization’s data. Effective data governance requires a structured approach that covers data ...

What is a data governance program? Your email has been sent Data governance programs are getting more and more attention in the corporate world, especially in industries that rely heavily on big data.

Malcolm Hawker is Head of Data Strategy at Profisee. Thought leader in the Data Strategy, Master Data Management and Data Governance fields. The importance of ensuring that the data consumed by ...

What Are Data Governance Tools, and How Do They Work? Your email has been sent Requires training and change management efforts. Initial setup and configuration can be ...

Everyone is interested in getting more data. Few consider that more data is not always better if the quality is low. Quality assurance is an enormous problem, plaguing numerous organizations. In fact, ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

These days, organizations are awash with more data than ever before. The challenges this presents are compounded by evolving regulatory changes such as the General Data Protection Regulation (GDPR), ...

Data governance was always seen as risk management, and still is. But there's another way, and that's going on offense. What’s your data strategy? Is it aggressive and innovative? Or focused on risk ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Data governance (DG) is a component of data management that focuses on managing access, use, quality and security of enterprise data. Data management in a data governance program is based on internal ...

CU Boulder collects, uses and maintains a significant amount of data. This includes, but is not limited to student, employee, research and finance data. Institutional data supports CU Boulder’s ...