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 ...

Longitudinal data analysis encompasses a range of statistical methodologies that examine data collected over extended periods, enabling researchers to disentangle temporal effects and dynamic ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

The Heisenberg uncertainty principle, which has origins in physics, "states that there is a limit to the precision with which certain pairs of physical properties of a particle, such as position and ...

Willamette's MBA concentration in management science and quantitative methods (MSQM) covers a broad range of skills in information systems and mathematical models. These skills are especially ...

Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...

In today’s world, effective business leaders must be willing and able to embrace data-driven decision making. With the BC MBA’s data analytics sequence, you’ll master the skills necessary to ...

Analyzing data and model constraints The industry standard for insurance analysis, modeling and product development centers ...

The Army Research Lab is planning to apply supercomputing muscle and large-scale data analytics in the process of supporting the Army’s mission in an increasingly complex environment, according to ARL ...