Metadata management tools are considered an increasingly important part of a data-driven organization’s overall software collection. These tools help businesses make better decisions by providing useful context and insights about their stored data. Metadata management tools can also be used to improve the customer experience and keep customers longer. Additionally, they allow non-technical users to […]
The Cool Kids Corner: The Interplay Between Data Governance and AI
Hello! I’m Mark Horseman and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Read last month’s column here.) This month, we’re talking about the interplay between Data Governance and artificial intelligence (AI). What do we need […]
Self-Service Data Without Chaos
Information is power, and the ability to put information into the hands of those who can quickly act on it separates the leaders from the laggards in any market. Everyone in an organization – from HR professionals leveraging data to dictate hiring decisions to brand managers leveraging data for pricing optimization – benefits from analytics. […]
The Crucial Role of Data Lifecycle Management in Driving Business Success
No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected. But, to keep your data healthy and secure, you need to be aware […]
What Is Master Data Management and Why Is It Important?
Master Data Management (MDM) is an important method for developing and maintaining the uniformity and accuracy of the organization’s shared “master data.” Master Data Management allows businesses to improve the accuracy and uniformity of their important data assets, such as customer data, product data, asset data, and location data. Master data can be described as an […]
Core Data Concepts for Digital Transformation
Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]
DAS Webinar: Data Quality Best Practices
Download the slides here>> This webinar is sponsored by: About the Webinar Tackling Data Quality problems requires more than a series of tactical, one-off improvement projects. By their nature, many Data Quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process, and technology. Join […]
Protecting Intellectual Property in the Age of LLM Generative AI Tools
The emergence of large language models (LLMs) has ushered in a new era of generative AI tools with unprecedented capabilities. These powerful models, such as ChatGPT and others, possess the ability to make contextual connections in ways that were previously unimaginable. While LLMs offer immense potential, there is a pressing need to address the potential […]
Creating a Successful Data Quality Strategy
Maximizing the value of data often comes down to ensuring it’s in the right place at the right time and in the right form. While that process may produce magical-seeming results, the road to creating an optimal data quality strategy need not be mystifying. This was the guiding message delivered by Monika Kapoor – director […]
RWDG Webinar: One Data Governance for All – Master Data Included
Download the slides here>> This webinar is sponsored by: About the Webinar Maybe you believe that there is something called Master Data Governance, and that it is significantly different than any other form of active Data Governance. More generalized Data Governance can be targeted at any subset of data – for example … by […]