“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements. But even more recently, heightened regulatory attention with GDPR and CCPA in 2018, persistent PII data breaches, and data centralization across enterprises have created […]
What Every Business Leader Needs to Know About Data Modeling
The COVID-19 pandemic has meant that data-driven decisions have influenced all our lives over the last two years. But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […]
Start Small and Scale Up with Data Profiling, Data Quality, and Data Governance
Organizations today are rallying business users around using data to make better business decisions. Business users want to know where that data lives, understand if people are accessing the right data at the right time, and be assured that the data is of high quality. But they are not always out shopping for Data Quality […]
The Value of Metadata Governance
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 […]
Lean Governance Delivers Clean, Controlled Data at the Lowest Cost
Going lean is all about the elimination of waste and risk. In the manufacturing world, lean methods focused on delivering a high-quality product to the customer. In the data world, Lean Governance delivers clean, timely, and controlled data at the lowest cost with minimal bureaucracy. The path to Lean Governance begins with a view across […]
The Evolution of Metadata Platforms vs. Data Platforms
Watching closely the evolution of metadata platforms (later rechristened as Data Governance platforms due to their focus), as somebody who has implemented and built Data Governance solutions on top of these platforms, I see a significant evolution in their architecture as well as the use cases they support. This evolution seems to closely mirror the […]
What Is Business Semantics?
Business semantics describes metadata, reconciled to have consistent organizational terms and meanings. While business metadata describes data to enhance business value, business semantics makes up a sub-set of this metadata, the vocabulary. Business semantics can result in a business glossary, but it may take on a combination of different formats. Conceptual data models, data catalogs, […]
Data Management vs. Data Strategy
In a DATAVERSITY® interview, Donna Burbank, the Managing Director at Global Data Strategy, said, “The difference between Data Management vs. Data Strategy is almost in the definition of the two words. Think about your money. If you’re just managing it, you’re sort of just getting by, but if you’re thinking strategically, you’re really thinking of […]
What Is Blockchain?
Blockchain is a distributed database and storage devices for the database are not all connected to a common processor. “A blockchain or distributed ledger,” as Gartner describes, “is a mechanism for adding trust in an untrusted environment.” Blockchain’s special capabilities in cryptography lead to this increased trust as a medium. Each transaction has a record. […]
What Is a Metadata Repository?
A metadata repository is a software tool that stores descriptive information about the data model used to store and share metadata. Metadata repositories combine diagrams and text, enabling metadata integration and change. The metadata repository’s power lies with the easily accessible way people can view and navigate its contents. Other Definitions of Metadata Repositories Include: […]