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 […]
Innovating with Data Mesh and Data Governance
Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data Quality, data fit for consumption, simplifying and speeding up data access. Using a data mesh, which is a decentralized data architecture (collecting, integrating, and analyzing […]
Data Strategy 101
Organizations that treat data as a business asset look for ways to transform the entire business ecosystem into a data-driven entity. Yet, aligning business goals with data goals is neither easy nor straightforward; a systematic and well-defined Data Strategy must be conceived and developed to take the data-enabled business practices forward. In this Data Strategy 101 […]
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 Impact of Poor Data Quality (and How to Fix It)
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad decisions, harming business performance. The sources of poor data quality may seem like a small issue, but it can easily become magnified as repeat errors and different types of errors […]
Trends in Data Governance in 2023: Maturation Toward a Service Model
Companies increasingly want to mature their Data Governance, the formal Data Management capabilities around its value as a service, in 2023. That way, organizations can respond to an uncertain business environment quickly and flexibly. While Kelle O’Neal, founder and CEO of the data consulting firm First San Francisco Partners, first identified this need for Data Governance as a […]
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 […]
Data Architecture Trends in 2023
With the onset of the pandemic, global businesses began to realize the power of operational efficiency, scalability, and growth. With this realization came the crucial need to shift their data centers to managed service ecosystems – cloud platforms in all their variations. However, locating a suitable data center partner on the cloud has not been an […]
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 […]
Database Management Best Practices
Database management best practices promote the efficient use of data throughout the organization. These practices support the collection and storage of quality data, as well as provide easy access to the data by the appropriate people. With today’s data growing in volume and becoming increasingly complex, the intelligent management of data has become a necessity. […]