Data is central to modern businesses. However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your Data Management processes might seem intimidating. Here are four essential Data […]
Fundamentals of Metadata Management
Metadata powers effective action on information by providing context, content, and structure. When this information is managed well, data consumers can find and get the correct data they need. As Atlan Prukalpa Sankar states, “Metadata is the glue that can bind the modern data stack together, the layer that will allow increasingly diverse, siloed tools and people to collaborate effectively.” Grasping the […]
Types of Metadata and How to Manage Them
In recent years, active metadata (as opposed to passive metadata) has promoted the development of new types of metadata and ways to manage them. Metadata is a labeling system that can be read by humans and computers and allows search engines to locate data using defined metadata fields. Passive metadata provides a basic identification system […]
Blockchain Technology Demystified
Prepare for blockchain technology to play a significant role in business, society, and almost everything. While 45% of CIOs said their organizations had yet to invest in blockchain between 2016 to 2021, that will change as information exchange becomes decentralized and demonstrated use cases show blockchain’s success. Blockchain spans various industries, from real estate, insurance, health care, […]
The Future of Data Modeling in Data Governance
The process of Data Modeling is playing an increasingly important role when creating or improving a Data Governance program. Data Governance has become extremely complex, and the use of Data Modeling promotes understanding. One basic reason for the increasing complexity is the expanding use of data analytics for purposes of research. Another reason is complying […]
Key Components of a Successful Data Strategy
A successful data strategy generally requires the use of certain key components. Most businesses have invested in some form of Data Management, but all too often different sections of a business aren’t terribly well coordinated. A data strategy can be described as a dynamic process used to support the collection of data, its organization and […]
Making Data FAIR for All
It is tempting, when pursuing a project that requires heavy use of data, to focus just on that particular project. Collect or locate the data needed to answer the question at hand, work out the conclusions based on that data, act on the conclusions, and discard the data. But there has been a growing awareness, […]
Data Governance and Data Catalogs: Where Do They Intersect?
Data catalogs and Data Governance work together and intersect in some very useful ways. Data catalogs communicate information about an organization’s data assets, and where they are located. Data Governance, on the other hand, deals with the overall management of data, such as accuracy, usability, security, and the established processes the organization uses. Data Governance […]
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 […]