Predictive and Simulation Analytics Deeper Insights for Better Business Decisions /
This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld mult...
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| 格式: | 電子 電子書 |
| 語言: | 英语 |
| 出版: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
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| 版: | 1st ed. 2023. |
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| 在線閱讀: | https://doi.org/10.1007/978-3-031-31887-0 |
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| 總結: | This book connects predictive analytics and simulation analytics, with the end goal of providing Rich Information to stakeholders in complex systems to direct data-driven decisions. Readers will explore methods for extracting information from data, work with simple and complex systems, and meld multiple forms of analytics for a more nuanced understanding of data science. The methods can be readily applied to business problems such as demand measurement and forecasting, predictive modeling, pricing analytics including elasticity estimation, customer satisfaction assessment, market research, new product development, and more. The book includes Python examples in Jupyter notebooks, available at the book's affiliated Github. This volume is intended for current and aspiring business data analysts, data scientists, and market research professionals, in both the private and public sectors. |
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| 實物描述: | 1 online resource (XXV, 370 p. 173 illus.). 149 illus. in color. |
| ISBN: | 9783031318870 |
| DOI: | 10.1007/978-3-031-31887-0 |