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 […]
Metadata Management vs. Master Data Management
Businesses rely on knowing their data to survive and grow. Metadata management and master data management (MDM) provide essential processes for organizations to gain this knowledge and succeed. As a result, both need to be managed well. However, the differences and intersections between metadata management vs. master data management are often complicated to disentangle for […]
Data Lineage Demystified
Trusting big data requires understanding its data lineage. Without data lineage, big data becomes synonymous with the last phrase in a game of telephone. The original data from the first person (e.g., “a guppy swims in a shark tank”) changes to something completely different when it ends with the last person (e.g., “The puppy that […]
Data Quality, Data Stewardship, Data Governance: Three Keys
Typically, Data Governance programs start with Data Quality, because that is where end users or stakeholders begin to interact with data, especially from the reporting and analytics perspective. “They get a report that doesn’t match another report and they can’t marry it to other data,” said Mary Anne Hopper, Data Management Consultant at SAS Institute. […]
Three Crucial Phases of a Digital Transformation Journey
Click to learn more about author Kristian Kalsing. In today’s digital era, organizations require a solid foundation of trusted master data to enable impactful digital transformation (DX) efforts and drive better business results at scale. All businesses, regardless of industry, recognize that to succeed and deliver the best-in-class customer experience needed for retention and expansion, […]
Tools for Quick Wins with Data Architecture and Data Governance
Data Governance can have various definitions, depending on the audience. To many, Data Governance consists of committee meetings and stewardship roles. To others, it focuses on technical Data Management and controls. Holistic Data Governance combines both of these aspects, and a robust Data Architecture and associated diagrams can be the “glue” that binds business and […]
Dear Laura: Agile Data Governance
Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance, I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote the […]
Enterprise Data Sharing: Commercially Identifiable Information
Click to learn more about author Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so much […]
Data Architecture with Data Governance: A Proactive Approach
“Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. at Global Data Strategy, speaking at the DATAVERSITY® Enterprise Data Governance Online Conference. “It’s a key part of the whole continuum that you need to build within an organization to manage data effectively,” and Data Governance forms an […]
The 12 Days of Data Management
Click to learn more about author Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, Data Quality, and so much […]