Analytics & Business Intelligence

As businesses become increasingly data-focused, it’s important to recognize that data is only as good as the analysis it’s put through.

Intermountain Healthcare uses data and analytics to improve its health services, including lowering its infection rates.

Huge, complex datasets are becoming universal. The skills needed to work with them? Not so much.

Chicago nonprofit Christopher House uses data to drive outcomes in providing education services to low-income families.

Airline Cathay Pacific incorporates data into all its operations to make decision making more efficient. But experience counts, too.

American health care is undergoing a data-driven transformation — and Utah’s Intermountain Healthcare is leading the way.

By skillfully managing the human side of its analytics strategy, Intermountain Healthcare empowers doctors and other users to make data-driven process changes that improve business results and patient outcomes.

A panel of experts discusses how to attract and manage analytics talent for best results.

We answer three questions about the findings in our recent Big Idea Initiative research report, “The Talent Dividend.”

Coca-Cola uses forward-looking analytics to understand its customer base and international distribution network.

What do you do when you’ve got an unending stream of quality data, and processes in place for analytics… but you’re not sure what to do with it all?

Increased access to data can be turned into better decision making by focusing on both the production and consumption of analytics.

Advanced digital technologies are swiftly changing the kinds of skills that jobs require.

Companies that are experienced in using analytics successfully offer five lessons for corporate leaders.

As business moves to a real-time, data-driven focus, the search for talent has undergone a quantum shift.

Simulations can help shrink the gap between what analysts try to explain and what decision makers understand.

The NFL’s CIO discusses the organization’s customer-focused approach to big data and analytics.

As sensors and computer-mediated transactions become universal, Google’s Hal Varian warns that organizations need to prepare for a flood of data.

Stories of your competitors’ analytics prowess are probably overblown — so take steps to move forward now.

Companies are having a tough time finding the data scientists they need — but that doesn’t mean those projects need to halt altogether.