In recent years, data science has become an essential business tool. With access to incredible amounts of data—thanks to advanced computing and the “Internet of things”—companies are now able to measure every aspect of their operations in granular detail. But many business leaders, overwhelmed by this constant blizzard of metrics, are hesitant to get involved in what they see as a technical process.

Artificial intelligence is here to stay. Machines are getting smarter, faster, and are poised to play ever-greater roles in our healthcare, our education, our decision-making, our businesses, our news, and our governments.

This month, Insight In Person looks at how business leaders can incorporate data analytics into their companies—from what the manager’s role should be to how big data can be used in product development.

Everyone wants to make solid, data-driven decisions. Yet collecting and using data optimally can often feel daunting.Here some insights from Kellogg professors on how individuals, teams, and companies can feel comfortable with and get the most out of data analytics.