Click to learn more about author Jeff Kinard. 2020 saw a rapid acceleration in digital transformation, and this trend shows no sign of slowing down in 2021. The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]
Graph Databases: Updates on Their Growing Popularity
Graph databases became recognized as a database design in 2006, when Tim Bernes-Lee developed the concept of a huge database called the “linked data.” This concept became the basis of graph storage, and could display how organizations, people, and items or entities are associated, or “interconnected” with one another, and the nature of the relationships. […]
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 […]
Demystifying Master Data Management
Thomas Edison may have understood the importance of Master Data Management before the term was formally coined. He said, “The value of an idea lies in the using of it.” While ideas in the early 20th century relied on thoughts and things, ideas in this information age depend on data. Take reference data: unchanging tags […]
Case Study: Bringing Credibility to Freddie Mac’s Data Stewardship Model
Jenny Schultz has been with Freddie Mac since 1998. “We have tried to do the ‘data thing’ more than a few times, driven by IT, but it never stuck because the business didn’t see the value in leveraging their data and managing and governing it,” she said during her DATAVERSITY® Enterprise Data World Conference presentation […]
Master Data Management Equals Pain
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 […]
Advances in Master Data Management
The purpose of a Master Data Management program is to organize an organizations most important data assets, allowing them to be used efficiently and creatively. The choice of organizational styles determines how the data performs during an analysis, when building new relationships, and while making decisions that increase profits. There are key factors that should […]
How Master Data Management Enables Two Types of Data Monetization
Click to learn more about author Bill O’Kane. According to Gartner, data monetization refers to the process of using data to obtain a quantifiable economic benefit. Internal or indirect methods include using data to make measurable business performance improvements and inform decisions. External or direct methods include data sharing to gain beneficial terms or conditions […]
What Is Reference Data?
Reference data (a.k.a. as master data, or golden copy, or single source of truth [SSOT] ) describes the set of data an organization needs for daily operations. According to the DAMA-DMBoK2, reference data characterizes or classifies or relates to other data or information external to the organization. It describes the core entities of the business […]
Data Governance for Enterprises: Important Principles for Value Generation
Click to learn more about author Deepak Gupta. Data Governance has emerged as one of the top priorities for organizations across the globe. Given this reality, organizations are handling their data consistently to support business outcomes. So, what is Data Governance for enterprises, and why is it important? Data Governance is a set of laws […]