Essentials of Business Analytics : An Introduction to the Methodology and its Applications (International Series in Operations Research & Management Science) / Pochiraju, Bhimasankaram (EDT)/ Seshadri, Sridhar (EDT)

経営分析の要点：方法論と応用入門<br>Essentials of Business Analytics : An Introduction to the Methodology and its Applications (International Series in Operations Research & Management Science)

個数：

電子版価格
¥20,930

電子版あり

経営分析の要点：方法論と応用入門
Essentials of Business Analytics : An Introduction to the Methodology and its Applications (International Series in Operations Research & Management Science)

Pochiraju, Bhimasankaram (EDT)/ Seshadri, Sridhar (EDT)

ウェブストア価格 ¥26,903（本体¥24,458）
Springer International Publishing AG（2019/07発売）
外貨定価 US$ 129.99
ポイント 244pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 980 p.
商品コード 9783319688367

Full Description

This comprehensive edited volume is the first of its kind, designed to serve as a textbook for long-duration business analytics programs. It can also be used as a guide to the field by practitioners. The book has contributions from experts in top universities and industry. The editors have taken extreme care to ensure continuity across the chapters.

The material is organized into three parts: A) Tools, B) Models and C) Applications. In Part A, the tools used by business analysts are described in detail. In Part B, these tools are applied to construct models used to solve business problems. Part C contains detailed applications in various functional areas of business and several case studies. Supporting material can be found in the appendices that develop the pre-requisites for the main text.

Every chapter has a business orientation. Typically, each chapter begins with the description of business problems that are transformed into data questions; and methodology is developed to solve these questions. Data analysis is conducted using widely used software, the output and results are clearly explained at each stage of development. These are finally transformed into a business solution. The companion website provides examples, data sets and sample code for each chapter.

Chapter 1. Introduction.- Chapter 2. Data Collection.- Chapter 3. Data Management - Relational Database Systems (RDBMS).- Chapter 4. Big Data Management.- Chapter 5. Data Visualization.- Chapter 6. Statistical Methods-Basic inferences.- Chapter 7. Statistical Methods-Regression.- Chapter 8. Advanced Regression Analysis.- Chapter 9. Text Analytics.- Chapter 10. Simulation.- Chapter 11. Introduction to Optimization.- Chapter 12. Forecasting Analytics.- Chapter 13. Count Data Regression.- Chapter 14. Survival Analysis.- Chapter 15. Machine Learning (Unsupervised).- Chapter 16. Machine Learning (Supervised).- Chapter 17. Deep Learning.- Chapter 18. Retail Analytics.- Chapter 19. Marketing Analytics.- Chapter 20. Financial Analytics.- Chapter 21. Social Media and Web Analytics.- Chapter 22. Healthcare Analytics.- Chapter 23. Pricing Analytics.- Chapter 24. Supply Chain Analytics.- Chapter 25. Case study: Ideal Insurance.- Chapter 26. Case study: AAA Airline.- Chapter 27. Case study: Informedia Solutions.- Chapter 28. Appendix 1: Introduction to R.- Chapter 29. Appendix 2: Introduction to Python.- Chapter 30. Appendix 3: Probability and Statistics.-