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Primary Data Modeling Techniques

Data Modeling techniques are used to create a map or blueprint showing how an organization gathers and processes data. Data models help to define the logical structure for an organization’s data. Data Modeling techniques are necessary for businesses wanting to maximize and streamline their ability to analyze and understand data. While developing the model, the […]

RWDG Slides: Glossaries, Dictionaries, and Catalogs Result in Data Governance

Glossaries, Dictionaries, and Catalogs Result in Data Governance from DATAVERSITY To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by About the Webinar Data catalogs, business glossaries, and data dictionaries house metadata that is important to your organization’s governance of data. People in your organization need to be engaged in leveraging […]

What Is Synthetic Data?

Synthetic data refers to any dataset that is generated artificially. Most datasets are generated based on research, use cases, or other activity. In the case of synthetically generated data, datasets are instead developed in a way that replicates real datasets, so that they can act as supporting information during model training or testing processes. Gartner predicts […]

Types of Analytics Used in Organizations

Data analytics in businesses help uncover competitive intelligence, actionable insights and trends. Different types of analytics enable businesses to gain an edge over their competitors. In the “data first” era, data-driven insights and decisions have become the key drivers of business performance. This post reviews the different types of data analytics routinely used in enterprises. […]

Five Essential Data Architecture Principles

Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]