Analytics & Business Intelligence

It’s not enough to be right. You also have to sell your model or idea to have an impact.

How can companies and employees find common ground when it comes to skill development for AI?

Organizations can use analytics to help employees chart a path for growth and advancement.

Understanding how a QB processes information may hold the key to identifying future talent.

The act of answering survey questions can increase awareness, which opens the door to development.

AI offers a helping digital hand to overburdened B2B marketing departments.

People are complex. We need a more nuanced approach to predicting job performance.

Confirming what people already believe can sometimes help organizations overcome barriers to change.

Join MIT SMR Connections and SAS for a Twitter chat on how to make sure your data is trustworthy.

Can an individual football player’s talent be predicted? Wharton professor Cade Massey thinks not.

An infographic highlights research findings on best practices underlying data-driven innovation.

A webinar examines recent innovations in digital talent identification.

Are data analysts who develop strategy truly paid what they’re worth?

Skeptics want to know: How much of a difference do analytics actually make?

We’re in the midst of a big data revolution, but not all companies are flourishing in this new era.

To make AI a strategic differentiator, organizations need to draw from alternative data sets.

A look at 1990s hockey defender Larry Murphy holds lessons for team building.

Until regulations catch up, AI-oriented companies must establish their own ethical frameworks.

Recording expectations improves decision quality, risk management, and leadership development.

How should organizations approach strategic decision-making?