The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

Generic industry data models do have a place, but they serve as a kick-start to the modeling process, not the destination. Consider an address; organizations may break address components apart in ...

A guide to the 10 most common data modeling mistakes Your email has been sent Data modeling is the process through which we represent information system objects or entities and the connections between ...

The addition of Transformational Modeling, Tx, allows data teams to simplify, automate, and collaborate on their end-to-end data modeling workflows. SAN FRANCISCO--(BUSINESS WIRE)--SqlDBM, a leading ...

The last decade has seen an explosion of data generation from individuals, businesses and institutions worldwide. As these organizations increasingly rely on data-driven decision-making, the demand ...

In healthcare, predicting the outcome of a given contract with a health insurer or other third-party payer is vastly more complicated than predicting how a contract will play out in other industries.