The goal of building a strategy to democratize data is to allow all appropriate staff to access the organization’s data, regardless of their technical skills or job description. Previously, a researcher would have to submit a request to the IT department for the information they needed. For example, if a production manager wanted a mid-month […]
Graph Database Use Cases
One of the primary advantages of using a graph database is the ability to present the relationships that exist between datasets and files. Much of the data is connected, and graph database use cases are increasingly helping to find and explore these relationships and develop new conclusions. Additionally, graph databases are designed for quick data […]
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 […]
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 […]
A Brief History of Semantics
As a word, “semantics” was first used by Michel Bréal, a French philologist (a language historian),in 1883. He studied how languages are organized, how languages change as time passes, and the connections within languages. Gen erally speaking, semantics is the study of language and its meaning. More specifically, semantics can be used to describe how […]
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 […]
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. […]
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 […]
Data Quality Tools and Solutions
Data Quality tools can help to make data more trustworthy and more manageable. Inaccurate data promotes poor decision-making, missed opportunities, and lower profits. As use of the cloud continues to grow and become more complex, Data Quality has become a critical issue. Data Quality tools, when used effectively, resolve the issues that cause these problems. […]