Developing a metadata strategy is necessary for a growing business to maintain and improve efficiency. Metadata is a small amount of data that is used to identify a larger collection of data (images, text, files, digital objects). It is generated each time data is collected from its source, moved through a data system, accessed by […]
Advances in Metadata Management
With the flood of data that organizations are experiencing, metadata management is no longer optional – it has become a necessity. The concept of metadata management is fairly new because older metadata services, before this rush of data, had no significant problems locating data files. Now they do. Metadata, at its most basic, can be described […]
Do You Really Need a Data Catalog?
A data catalog can be an excellent resource for a business. An important element of modern metadata management, it can make many workflows and business processes clearer, encourage better cross-departmental collaboration, and boost productivity in several key ways. Gretchen Burnham and Becky Lyons of First San Francisco Partners recently sat down with DATAVERSITY® to talk about some of the big questions in […]
The Importance of Managing Your Metadata
Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes. One of the chief obstacles in this continual […]
The Importance of a Data Governance Roadmap
A Data Governance (DG) roadmap provides a detailed plan or strategy, normally with a list of tasks that must be accomplished for improving or “maturing” a DG program. It should also list the people who are responsible for completing specific tasks. A Data Governance roadmap often includes incorporating Data Governance best practices and is typically based on […]
How to Implement a Data Quality Framework
According to IDC, 30-50% of businesses experience gaps between their data expectations and reality. They have the data they need, but due to the presence of intolerable defects, they cannot use it as needed. These defects – also called Data Quality issues – must be fetched and fixed so that data can be used for successful business […]
Data Trustability: The Bridge Between Data Quality and Data Observability
If data is the new oil, then high-quality data is the new black gold. Just like with oil, if you don’t have good data quality, you will not get very far. You might not even make it out of the starting gate. So, what can you do to ensure your data is up to par and […]
Writing a Data Management Plan
A Data Management plan (DMP) is normally a one- or two-page summary, outlining how data will be handled during a research project, and after it has been completed. The goal of a Data Management plan is to consider the many aspects of Data Management (such as data preservation, metadata generation, and analysis) before the project begins. It […]
Data Access Governance Is Key to Going Faster
Every day, businesses create, collect, compile, store, and share exponentially growing amounts of data. When put to use effectively, sales teams can boost revenue, marketing can improve the customer experience, HR can keep employees happy, and so on. But we all know that cyberattacks are on the rise and evolving data privacy legislation has led to the […]
The Business Glossary and Automated Metadata Tools
Automated metadata tools can be used to develop and build business glossaries, graphs, and data catalogs. By eliminating the human factor, metadata errors can be minimized and tasks accomplished much more quickly. Business glossaries act as the foundation for a shared and common language. Automated metadata tools can cut down on the amount of time […]