Data Management tools are used to develop and monitor practices, as well as organize, process, and analyze an organization’s data. These tools are designed to arrange and harmonize data, and should provide a high degree of efficiency and effectiveness. Data Management tools also support privacy, security, and the elimination of data redundancy. Effective Data Management […]
Conceptual Data Modeling: An Examination of Trends
John Singer wonders if Conceptual Data Modeling can save IT from itself.“I definitely think that we need a bit of saving. We need a little help in terms of how we build systems, especially from a data perspective.” Singer spoke at DATAVERSITY®’s Enterprise Data World Conference, about Data Modeling, current gaps in the field, and […]
Data Strategy Trends in 2022
What is Data Strategy? “Well, the short answer is, it’s the data chapter of your business strategy,” said John Ladley, consultant and author of the book Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program. Contrary to popular belief, the one thing it isn’t, he said, is a technology procurement plan. […]
How to Become a Data Governance Lead
The Data Governance lead is responsible for the systems and rules used to ensure data is legal, well-organized, safe, accessible, and valuable. They are responsible for developing and communicating Data Governance policies. Because Data Governance covers a wide range of responsibilities, a variety of people are involved, and the Data Governance lead manages how they […]
Data Architecture Trends in 2022
The primary purpose of implementing a Data Architecture is to standardize the methods and protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]
A Brief History of Data Management
Data Management is the organization of data, the steps used to achieve efficiency, and gather business intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data management has […]
Data Quality Dimensions
Data Quality dimensions are useful concepts for improving the quality of data assets. Although Data Quality dimensions have been promoted for many years, descriptions of how to actually use them have often been somewhat vague. Data that is considered to be of high quality is consistent and unambiguous. Poor Data Quality results in inconsistent and […]
Better Data Modeling with Lean Methodology
The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]
Data Governance Trends in 2022
Way back in the early 2000s, Data Governance wasn’t really much of a thing. There were a few really early pioneers that were doing Data Governance, and they were laying the groundwork, but governance was not a recognized capability. Companies who did see some value in Data Governance were primarily focused on the benefit to […]
A Brief History of Data Architecture: Shifting Paradigms
Data Architecture is a set of rules, policies, and models that determine what kind of data gets collected, and how it gets used, processed, and stored within a database system. Data integration, for example, is dependent on Data Architecture for instructions on the integration process. Without the shift from a programming paradigm to a Data […]