The rise of connector roles in data science

At many companies, gaps in organizational structure get in the way of data science success. A new type of role, connectors, can bridge those gaps to help line-of-business and data science professionals work together better and deploy more projects. This article examines examples of organizations tha...

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Bibliographic Details
Other Authors: Redman, Thomas C., author (author), Davenport, Thomas H., 1954- author
Format: eBook
Language:Inglés
Published: [Cambridge, Massachusetts] : MIT Sloan Management Review 2023.
Edition:[First edition]
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825937106719
Description
Summary:At many companies, gaps in organizational structure get in the way of data science success. A new type of role, connectors, can bridge those gaps to help line-of-business and data science professionals work together better and deploy more projects. This article examines examples of organizations that created connector roles and explores the management challenges for this valuable group of professionals.
Item Description:Reprint #65235.
Physical Description:1 online resource (7 pages)