Metadata Management implies a set of activities, which administer data for better usage and outcomes. Thus, this practice involves establishing stringent roles, responsibilities, policies, and processes to ensure that data-driven information is available, accessible, sharable, and maintainable across an organization for the best analysis and application of such information in daily business. In that sense, Metadata […]
2020 DATAVERSITY Top 20
With 2020 now behind us, we here at DATAVERSITY are taking a moment to look back on the hits and misses of this unprecedented year. What content did you, our readers, seek out most during challenging times? Which topics helped you succeed as a data professional, and what should we focus more on in 2021 […]
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 […]
The Right Data Governance for Your Organization’s Culture
“If you pay attention to how many times you hear conference speakers use the word ‘culture,’ you’re going to be surprised,” remarked Mary Levins, founder of Sierra Creek Consulting, during her DATAVERSITY® Enterprise Data World Conference presentation titled The Culture-Centric Approach to Data Governance. She co-presented with Cassie Elder, the owner of DataCraft Partners. They […]
The Evolution of Data as an Asset
From an Afterthought to a Core Business Asset: The Journey of Data In recent years, the phenomenal growth of connected devices and advanced data technologies, along with the availability of affordable data storage, transfer, and processing capabilities, has enabled businesses to gain competitive intelligence on demand.Despite recognizing the strategic potential of data, many businesses face […]
Data Container Architecture: Answers and Challenges
Data containers are a recent step in the evolution of the cloud. Their purpose is to run reliably as they are transferred from one computer environment to another. They are isolated, improve security, and are “usually” easy to work with. Containers promote application portability through their novel use of packaging, and the philosophy of “develop […]
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 […]
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 […]
The Importance of Graph Databases in Business Analytics
Augmented analytics is one of the top 10 technologies Gartner identified with the potential to cause significant digital disruption in the next three to five years. The hallmark of augmented analytics is its high reliance on AI and ML technologies. AI and ML together will transform enterprise Data Management in the coming years, and many […]
Serverless Computing Use Cases
The uniqueness of serverless computing is its ability to survive without the presence of physical machines and systems software. In the serverless computing world, the client subscribes to a set of services including special “APIs and web services” that software developers can use to quickly build useful and scalable architectures for on-demand computing services. Serverless […]