Companies and organizations around the world have spent trillions of dollars on hardware, software, and data science talent in order to advance analytics and AI. Yet, a substantial number of firms still lack strong capabilities in these areas.
The primary culprit is the absence of a culture that emphasizes data, analytics, and evidence-based decision making. But a few companies are now embarking on initiatives specifically designed to create data-driven cultures.
In this HBR webinar, author, MIT IDE Digital Fellow, and Babson College Professor, Thomas Davenport, describes the problem, the implications, and the solutions to the data-driven culture issue. He also presents detailed examples of firms making definite progress toward that goal.
Listen and watch here for the January 27, 2020 webinar to gain more insights into building a data-driven culture.
Also read more by Tom Davenport on the topic in this new MIT Sloan Management Review article, What Separates Analytical Leaders From Laggards?