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 ...

In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Data analytics can be a tough topic to teach. There’s no real road map for instructors to follow, and the technology that underlies it can change at a rapid clip. What’s more, students often have ...

Sparse data can impact the effectiveness of machine learning models. As students and experts alike experiment with diverse datasets, sparse data poses a challenge. The Leeds Master’s in Business ...

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 ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

Besides being all the rage in the industry, digital transformation is a key component to the strategy of forward-leaning hospitals and health systems today. It aligns healthcare organizations with its ...

Rohit Amarnath is CTO of Vertica, a unified analytics platform that enables predictive business insights based on a scalable architecture. There’s no debate: Data is one of the most valuable assets ...

Overview Cloud analytics platforms in 2025 are AI-native, enabling faster insights through automation, natural language ...