TY  - GEN
AB  - In todays fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governances pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate through analytics, literacy, governance, process management, and data inventory management. Behind all of this lies the authors groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Building a Data Culture carefully dissects these cultural types, revealing the associated challenges and opportunities, and uncovering suitable strategies in the process.
AU  - Griffin, Gary W.,
AU  - Holcomb, David,
CN  - HF5548.2
DO  - 10.1007/978-1-4842-9966-1
DO  - doi
ID  - 1484260
KW  - Gestion
KW  - Culture organisationnelle.
KW  - Business
KW  - Corporate culture.
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9966-1
N2  - In todays fast-paced digital landscape, organizations face an ever-increasing volume of data that holds immense potential for driving business success. However, many businesses struggle to harness this potential. This book is a comprehensive guide that unveils the transformative power of data and provides actionable insights to cultivate a data-driven organizational culture. The book emphasizes data strategy and data governances pivotal role in cultivating a mature data culture using practical insights, frameworks, and best practices. This approach ensures robust data culture structures that uphold data integrity, accessibility, and accountability. These structures operate through analytics, literacy, governance, process management, and data inventory management. Behind all of this lies the authors groundbreaking Usage and Flow Data Culture Model, a unique framework that enables organizations to evaluate and reshape their data culture based on distinct cultural types: Preservationist, Protectionist, Traditional, and Progressive. Building a Data Culture carefully dissects these cultural types, revealing the associated challenges and opportunities, and uncovering suitable strategies in the process.
SN  - 9781484299661
SN  - 1484299663
T1  - Building a data culture :the usage and flow data culture model /
TI  - Building a data culture :the usage and flow data culture model /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9966-1
ER  -