Analytics and data science

But only if customers know about it.

Studies conducted with CVS Health found that they can help predict how much people will spend in the future.

Success will depend on the speed at which companies identify signals, make decisions, and execute.

Five timeless, mutually reinforcing principles that every company needs to get right.

New research finds that ad effectiveness depends on more than just how close a consumer is to your store—it matters how close they are to your rival.

An eight-month study of 2,500 employees at KPMG discovered indicators that can help identify superusers.

And how companies can forecast the impact AI might have on their returns.

The jostling for control has just begun. Here’s how leaders can resolve it.

A study on climate solutions shows how the technology can help leaders track trends, identify changing markets, and seize emerging opportunities.

A new study finds that certain patterns of AI use are driving cognitive fatigue, while others can help reduce burnout.

End-to-end AI tools that are tuned to specific industries and case types can dramatically boost productivity.

The real barrier to AI adoption is not training gaps, a lack of leadership clarity, or even fear—it’s invisibility.

LLMs ask questions differently than humans—and that affects how executives use these tools to make decisions.

Many companies’ scheduling practices are broken. New research shows that analytics can help.

To drive agentic commerce adoption at scale, brands need to figure out how to earn—and keep—customers’ trust.

In most organizations, underwhelming results from AI, analytics, and CRM platforms stem from a mismatch between new ways of working and old organizational designs.

Three keys to success in a fractured global business environment.

This four-phase approach bridges the gap between technical possibility and business reality.