With digital transformation initiatives on the rise, organizations are investing more in Data Governance, a formalized practice that connects different components and increases data’s value. Some may already have established Data Governance programs for older Data Management systems (such as for controlling master data) but may lack control in newer technologies like training an AI to generate […]
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 […]
Data Governance: How Can It Be a Crucial Enabler for Managing Data Risks?
In July 2021, one of the world’s leading banks revealed a loss of $5.5 billion due to a default by one of its customers. The bank identified the “failure of management and controls” in its investment banking arm as the fundamental cause of this loss. This incident reinforces the importance of a robust governance framework […]
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 […]
Data Pipelines: An Overview
Just as vendors rely on U.S. mail or UPS to get their goods to customers, workers count on data pipelines to deliver the information they need to gain business insights and make decisions. This network of data channels, operating in the background, distributes processed data across computer systems, an essential framework and function for any data-driven […]
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 […]
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 […]
Data Classification Can Make or Break Data Governance
The cost of data loss is staggering – and avoidable. The news these days is full of massive fines levied against companies that failed to protect their customer data. An effective data classification approach is one of the best ways to ensure that companies can identify and protect their most valuable data. Our experience continues to […]
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 […]