Data, by itself, is just data. But put data in context—that’s when it becomes useful information. Robert Seiner, while speaking at the DATAVERSITY® Enterprise Data Governance Online Conference, said that what provides that context is metadata: “Data plus metadata equals the information that our organizations need to use to be successful.” Seiner is President and […]
2019 DATAVERSITY Top 20
It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]
Building Data Definition Consensus
Data definitions are about a business creating a common vocabulary in a common language. They’re about how the organization thinks about itself. Take product data: The business needs to know what products it sells, how they can be categorized, what needs to be understood about that, who has financial responsibility for them, and why it […]
Metadata Management Drives the Future of Data Management
Metadata Management makes a huge difference in finding critical data and helps enterprises not get lost within millions (or billions) of records. Metadata provides context about data, describing the information inside a data set, like a candy wrapper detailing the ingredients of the sweet stuff it encloses. This kind of data about data drives a […]
Responding to Innovations and Trends in Data Governance
Kevin Shannon, Global Head of Enterprise Data Governance at Dun & Bradstreet (D&B), shared his views on how to respond to current and future developments in Data Governance at the DATAVERSITY® Enterprise Data Governance Online event, during his presentation titled Trends in Data Governance. The Interconnection of Value & Reality In the next few years, […]
Ease into Data Governance with a Data Quality Pilot
In the banking or pharmacy industry where regulations compel companies to have good governance in place, in industries such as publishing and telecom Data Governance often seems complicated and theoretical. That’s according to Sara Willovit, Product Data Governance at Becton Dickenson. Speaking at the DATAVERSITY® Enterprise Data World Conference, during her presentation titled Using Data […]
Data Governance and the Digital Information Repository
Digital libraries or information repositories such as Wikipedia are driven by a carefully governed Data Architecture, which provides anytime, anywhere, any topic access to these vast information resources. Data Governance policies related to Data Quality, ownership, stewardship, roles, and responsibilities are executed through the use of “metadata,” which provides context to data. Without metadata, even […]
Developing a Data Strategy Template
Creating a Data Strategy, like a Business Strategy, is an art. In a Harvard Business Review article, Joshua Gans, professor at the University of Toronto’s Rotman School of Management, notes two typical errors made with a Business Strategy: spending too much time searching for the one true strategy and getting paralyzed by uncertainty — hence, […]
Data Governance and Machine Learning
Top management are pressuring their organizations to adopt advanced AI-enabled solutions, so Data Management challenges continue to mount on technology teams. The technology decision-makers are increasingly realizing that without a firm Data Strategy provisioning enterprise-wide supply of data on demand, machine learning and AI adoption will remain just a buzz. For most businesses today, this […]
Data Governance and Data Quality Use Cases
Given the high volume of erroneous data floating across the enterprise, it is increasingly difficult for industry operators to make business decisions or plan any course of action based on such poor-quality data. Moreover, what’s the point of applying advanced analytics or BI technologies on data that is flawed? A whitepaper titled Getting Ahead of […]