Contribution analysis is one of the foundations for many of the other types of analyses (list response, customer lifetime value, and square-inch analysis, to name just a few) that successful ...

Microsoft Excel’s Data Analysis Toolpak is an invaluable add-in for those who require complex statistical or engineering analyses. This powerful feature allows users to execute a variety of data ...

The Yale GIS Accelerator program — which aims to teach University affiliates how to utilize geographic information systems, or GIS, in projects — began on Jan. 6, 2025. It is a five-day intensive GIS ...

Data analysis does not remove the need for leadership; it requires business leaders to learn to incorporate data into their decision making and effectively train and support their teams to do the same ...

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 ...

Marketers today know that data-driven initiatives can have a more granular, strategic impact than “spray and pray” methods of outreach or simply following their gut instincts ever could. For many, the ...

ESG in Action As climate change intensifies, so do the physical and transition risks to industries and companies. But how do investors quantify those changes? Historically, they’ve measured a ...

At SNHU, we want to make sure you have the information you need to make decisions about your education and your future—no matter where you choose to go to school. That's why our informational articles ...

Researchers in the field of human-technology interaction have demonstrated how a custom-built 'data-to-music' algorithms can help to better understand complex data. The transformation of digital data ...

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...