The Rise of Connector Roles in Data Science
Connectors can bridge the organizational gaps that often thwart success with data science projects. Here’s how to manage this new kind of data professional.
For all of the current focus on using data, analytics, and AI to improve organizational decisions and operations, too many data science projects fail. Even for those that succeed, progress is often slow and expensive. Why? Organizational gaps between teams are wreaking havoc with the ability to develop, apply, and scale data science projects. A new type of role is needed to bridge these gaps.
Let’s not minimize the many aspects of data science that can trip a company up — from defining ...
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