Data Analytics in Project Management (Data Analytics Applications) - Tapa blanda

Libro 14 de 26: Data Analytics Applications
 
9781032094526: Data Analytics in Project Management (Data Analytics Applications)
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ISBN 10: 1032094524 ISBN 13: 9781032094526
Editorial: Routledge, 2021

Sinopsis

This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The book’s integrated approach to investigating both fields enhances the value of research findings.

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Acerca del autor

Seweryn Spalek is an academic professor and head of the CS&E department at the Faculty of Organisation and Management, Silesian University of Technology. Since 1994, he has managed several projects in industrial companies and healthcare organisations, in multicultural and multinational environments. He is the author and co-author of several publications in project management. He participated as a speaker in several conferences related to project management and company management. He carried out research related to key success factors in project management and project management maturity.

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Editorial
Routledge
Año de publicación
2021
Idioma
Inglés
ISBN 10 
1032094524
ISBN 13 
9781032094526
Encuadernación
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Número de edición
1
Número de páginas
236
Editor
Spalek Seweryn
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781138307285: Data Analytics in Project Management (Data Analytics Applications)

Edición Destacada

ISBN 10:  1138307289 ISBN 13:  9781138307285
Editorial: Auerbach Publications, 2018
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