TY  - GEN
N2  - This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context. Discusses analytics of decision intelligence and strategic management support; Focuses on organizational concerns that can be solved through business intelligence and artificial intelligence; Presents real-life scenarios and analytics to effectively develop and deploy techniques to enhance an organization's decision-making capability.
DO  - 10.1007/978-3-030-82763-2
DO  - doi
AB  - This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context. Discusses analytics of decision intelligence and strategic management support; Focuses on organizational concerns that can be solved through business intelligence and artificial intelligence; Presents real-life scenarios and analytics to effectively develop and deploy techniques to enhance an organization's decision-making capability.
T1  - Decision intelligence analytics and the implementation of strategic business management /
DA  - 2022.
CY  - Cham, Switzerland :
AU  - Jeyanthi, P. Mary.
AU  - Choudhury, Tanupriya.
AU  - Hack-Polay, Dieu.
AU  - Singh, T. P.
AU  - Abujar, Sheikh.
CN  - HD30.23
PB  - Springer,
PP  - Cham, Switzerland :
PY  - 2022.
N1  - Includes index.
ID  - 1443631
KW  - Decision making.
KW  - Business
KW  - Strategic planning
KW  - Prise de décision.
KW  - Gestion
KW  - Planification stratégique
SN  - 9783030827632
SN  - 3030827631
TI  - Decision intelligence analytics and the implementation of strategic business management /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82763-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82763-2
ER  -