Lately I've been hearing a lot about common data models when it comes to SOA. As organizations attempt to figure out the data in the context of SOA they are driven many times to the notion of a common ...

Capitalizing on data-driven expenditures is predicated on—and most times, impeded by—the innate differences in format, structure variation, settings, applications, terminology, and schema of ...

Benjamin is a business consultant, coach, designer, musician, artist, and writer, living in the remote mountains of Vermont. He has 20+ years experience in tech, an educational background in the arts, ...

Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach The ...

At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

In today’s customer-centric market, addressing customer churn is no less than a battle. It requires in-depth data-led customer insights for proactive identification of churn risks, driving timely ...

Learn what overfitting is, how it impacts data models, and effective strategies to prevent it, such as cross-validation and simplification.

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 ...

How to Improve Cancer Patients ENrollment in Clinical Trials From rEal-Life Databases Using the Observational Medical Outcomes Partnership Oncology Extension: Results of the PENELOPE Initiative in ...