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|a Decision intelligence analytics and the implementation of strategic business management /
|c P. Mary Jeyanthi, Tanupriya Choudhury, Dieu Hack-Polay, T P Singh, Sheikh Abujar, editors.
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| 260 |
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|a Cham, Switzerland :
|b Springer,
|c 2022.
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| 300 |
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|a 1 online resource (236 pages)
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a online resource
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| 347 |
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|a text file
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| 347 |
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|b PDF
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| 490 |
1 |
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|a EAI/Springer innovations in communication and computing
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|a Introduction -- Analytics & Predictive Analytics & Prescriptive Analytics -- Using Artificial Intelligence & Analytics for Better Decision-Making and Strategy Management -- Artificial Intelligence is being applied to create value across a range of domains -- Business Intelligence and Decision Making -- Amalgamation of business intelligence with corporate strategic management -- Enterprise decision management with Strategic focus -- The rise of decision intelligence: AI that optimizes decision-making -- Analytics for Strategic Management -- Analytics Concepts and Processes for Strategic Management -- Implementation of Decision Intelligence Analytics for Strategic Management -- Decision Intelligence Analytics for Competitive Advantage -- Business Lessons from the Sports Data Revolution -- Role of Decision Intelligence in Strategic Business Planning -- Decision Intelligence Analytics -- Conclusion.
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| 520 |
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|a 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.
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| 500 |
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|a Includes index.
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|a Online resource; title from PDF title page (SpringerLink, viewed January 12, 2022).
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| 650 |
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|a Decision making.
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| 650 |
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|a Business
|x Data processing.
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| 650 |
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|a Strategic planning
|x Data processing.
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| 650 |
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|a decision making.
|2 aat
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| 650 |
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|a Business
|x Data processing
|2 fast
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| 650 |
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7 |
|a Decision making
|2 fast
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| 650 |
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|a Strategic planning
|x Data processing
|2 fast
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| 700 |
1 |
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|a Jeyanthi, P. Mary.
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| 700 |
1 |
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|a Choudhury, Tanupriya.
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| 700 |
1 |
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|a Hack-Polay, Dieu.
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| 700 |
1 |
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|a Singh, T. P.
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| 700 |
1 |
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|a Abujar, Sheikh.
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| 758 |
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|i has work:
|a Decision Intelligence Analytics and the Implementation of Strategic Business Management (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCYY9RtHvg67DvQb6Bgc4G3
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
8 |
|i Print version:
|a Jeyanthi, P. Mary.
|t Decision Intelligence Analytics and the Implementation of Strategic Business Management.
|d Cham : Springer International Publishing AG, ©2021
|z 9783030827625
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| 830 |
|
0 |
|a EAI/Springer innovations in communication and computing.
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| 856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-82763-2
|y Click for online access
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| 903 |
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|a SPRING-ENGINE2022
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| 994 |
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|a 92
|b HCD
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