The data modeling process also gives every system access to a single source truth, ensuring accurate reporting on all levels, from analytics through visualization.

We review some of the work of the past ten years that applied the multi-level logit model. We attempt to provide a brief description of the hypothesis tested, the hierarchical data structure analyzed, ...

In many applications observations have some type of clustering, with observations within clusters tending to be correlated. A common instance of this occurs when each subject in the sample undergoes ...

Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity.

Extreme coastal sea levels more likely to occur, new data, advanced modeling techniques suggest Date: July 10, 2017 Source: University of Central Florida Summary: Improving projections for how ...

BMC Software's Doug Mueller cites the shortcomings of CMDBs and explains how a federated data model can overcome them.

The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...