Analytics & Business Intelligence

When organizations create forward-looking smart KPIs with AI, they see increased strategic alignment.

A more logical approach to risk management can help leaders sustain value generation through disruption and uncertainty.

Algorithms sometimes fail to keep pace with changes in the environment and deliver poor-quality predictions as a result.

Many finance offices aren’t benefiting from advanced analytics. A new framework can help CFOs assess their data skills.

Delta’s Michelle McCrackin discusses the airline’s in-house analytics training program on the Me, Myself, and AI podcast.

Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.

Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.

Most companies that are using AI are deploying it for augmentation, not large-scale automation.

ADP’s Jack Berkowitz explains the benefits of having data strategy, data products, and AI oversight within the CDO role.

This issue of MIT SMR focuses on customer relationships and their connection to innovation and value.

This case study describes how Honeywell and EY teamed up to build a powerful compliance scorecard.

Land O’Lakes’ CTO explains how data and artificial intelligence help the organization support agricultural production.

Watch this webinar to learn about using data insights to empower employees and enhance productivity.

Increasing productivity today requires creating cultures based on empowerment, wellness, and trust.

Learn to achieve healthy productivity while boosting employee engagement, empowerment, and wellness.

Data science project failure can often be attributed to poor problem definition, but early intervention can prevent it.

Successful digital initiatives require metrics that track business results, not technology use.

Streamlined metrics can get people moving in the same direction and improve business performance.

Data-driven leaders are using machine learning to surface new KPIs and better align behaviors with strategic objectives.

Analyzing e-commerce clickstream data can give retailers insight into which delivery options customers prioritize.