The decision making processes need to reflect changes in the business world in a multidimensional way. This paper includes also similar way of viewing the data for carrying out key decisions that ...

In the ever-expanding landscape of enterprise data management, the Multi-Dimensional Data Model (MDM) emerges as a transformative tool, offering a comprehensive approach to sorting, analyzing, and ...

Joanna Riley, CEO & cofounder of Censia. Striving for a more just and efficient global economy through better talent data and technology. In the age of data-driven decision-making, the significance of ...

We propose a semiparametric method for conducting scale-invariant sparse principal component analysis (PCA) on high-dimensional non-Gaussian data. Compared with sparse PCA, our method has a weaker ...

Fully convolutional networks were developed for predicting optimal dose distributions for patients with left-sided breast cancer and compared the prediction accuracy between two-dimensional and ...

In multidimensional data modeling practice, there is the concept of a bridge dimension. A bridge dimension, being the dimensionalized equivalent of a normalized data design’s associative entity, ...

When dealing with data, you may have to know the fact table vs dimension table differences. A fact table holds the data that needs to be analyzed, and a dimension table stores data dealing with how ...