Data & Analytics

Data quality improves radically when every employee recognizes that they are both a data creator and a data customer.

As data work increases, employee engagement declines. Leaders can implement strategies to make tasks more meaningful.

Survey report: What 1,000 business and data leaders think about using generative AI for analytics.

Many marketing teams struggle to identify metrics that will support business strategy. A change in approach can help.

Gaining value from data assets that include customers’ personal information requires advanced data protection tactics.

Persuading employees to use data to make better decisions requires both top-down leadership and grassroots initiatives.

Lufthansa launched an effective program to turn all its leaders into data leaders and propel its digital transformation.

Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.

Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.

Todd Heimes of Amazon Business shares insights on procurement and digital transformation.

Effective governance enables KPIs to evolve, remain aligned with strategic goals, and gain workers’ and managers’ trust.

FedML technology could help smaller companies train their machine learning models on larger, decentralized data sets.

On the Me, Myself, and AI podcast, Expedia Group’s Rathi Murthy discusses how AI is changing the travel industry.

On the Me, Myself, and AI podcast, Lego’s head of data engineering explains its approach to digital transformation.

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.

In this webinar, Ishit Vachhrajani of AWS offers expert advice on becoming a data-driven business.

Want to establish a genuinely data-driven organization? Read this Management Briefing to learn how.

Crisis-driven innovation, self-sufficient production, and data to boost diversity.

Collecting and analyzing the right employee data can help leaders build more equitable workplaces.