This article was originally published by Data-Smart City Solutions. Governments today operate in an increasingly complex world, reflected in the volume and ubiquity of data produced by citizens and ...

In organizational leadership, staying ahead requires more than just a glance into historical data; it demands a predictive prowess that anticipates future trends and allows leaders to test hypotheses ...

Advantages and shortcomings of predictive analytics, and how the practice is changing in order to keep up with the evolution of technology. The term predictive analytics refers to the use of data, ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...

Descriptive Analytics serves as the foundation of data analysis, focusing on understanding historical data and answering the question, “What happened?” By leveraging tools such as dashboards, reports, ...

Eli is Associate Editor for EdTech Magazine Higher Education. When not in the office, Eli is busy scanning the web for the latest podcasts or stepping into the boxing ring for a few rounds.

1. What is predictive analytics? Predictive analytics is a method of using data to make predictions about future events or behavior. It can be used in a number of different fields, including marketing ...

Predictive analytics transforms your historical marketing data into powerful insights about what will happen next: whether that's identifying which customers are likely to make a purchase, identifying ...