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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Detalles Bibliográficos
Otros Autores: Redman, Thomas C., author (author), Davenport, Thomas H., 1954- author
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Cambridge, Massachusetts] : MIT Sloan Management Review 2023.
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009825937106719
Descripción
Sumario: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.
Notas:Reprint #65235.
Descripción Física:1 online resource (7 pages)