Solving the Dynamic Complexity Dilemma: Predictive and Prescriptive Business Management: Answering the Need for a New Paradigm
暫譯: 解決動態複雜性困境:預測性與處方性商業管理:滿足新範式的需求

Nabil Abu el Ata, Maurice J. Perks

  • 出版商: Springer
  • 出版日期: 2014-08-22
  • 售價: $4,440
  • 貴賓價: 9.5$4,218
  • 語言: 英文
  • 頁數: 281
  • 裝訂: Hardcover
  • ISBN: 364254309X
  • ISBN-13: 9783642543098
  • 相關分類: Machine Learning
  • 海外代購書籍(需單獨結帳)

商品描述


Solving the Dynamic Complexity Dilemma examines the growing business problem of dynamic complexity and presents a path to a practical solution. To achieve better predictability, organizations must be able to expose new, dangerous patterns of behavior in time to take corrective actions and know which actions will yield the optimal results. This book promotes new methods of risk management that use data collection, analytics, machine learning and automation processes to help organizations more accurately predict the future and take strategic actions to improve performance outcomes. The presented means of achieving this goal are based upon the authors' practical experiences, backed by scientific principles, and results achieved through consulting engagements with over 350 global organizations.

商品描述(中文翻譯)

《解決動態複雜性困境》探討了日益嚴重的動態複雜性商業問題,並提出了一條實用解決方案的道路。為了實現更好的可預測性,組織必須能夠及時揭示新的、危險的行為模式,以便採取糾正措施,並了解哪些行動將產生最佳結果。本書推廣了使用數據收集、分析、機器學習和自動化流程的新風險管理方法,幫助組織更準確地預測未來,並採取戰略行動以改善績效結果。實現這一目標的方法基於作者的實踐經驗,並以科學原則為支持,還包括與350多家全球組織的顧問合作所取得的成果。