Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

Though often used during the development of a new software system to aid in analysis and planning, data flow diagrams give unparalleled insight into every instance where data is potentially vulnerable ...

A key reason why keeping data flow diagrams up-to-date is to address issues of system growth. As data volume continues to grow, so does the challenge of wrangling that data into well-formed ...

In my experience developing data and analytics rich applications, this type of testing and validation is often a second thought compared to unit, functional, performance, and security testing.

Similar to running a marathon, your organization must be focused on the finish if it wants to be successful with analytics. This article examines the six key milestones in the data analytics ...

Worley & Arundo launch The Data Refinery, global hub for advanced analytics. New product, DataSeer, applies machine learning to engineering drawings.

She conducts research in statistical analyses in high-dimensional data, genetic data, cancer-related data, and other medical data. Her research interests also include machine learning, computational ...

Using SQL and entity relationship diagrams, they learn how data is queried and modeled. In the process, students develop the mindset to promote innovative strategic initiatives that are increasingly ...