Competing on analytics : The new science of winning : updated, with a new introduction
Leading companies are doing more than just collecting and storing data in large quantities--they're now driving their competitive strategies based on data-driven insights. And achieving impressive results: Identifying the most profitable customers, accelerating product innovation, optimizing su...
שמור ב:
| מחבר ראשי: | |
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| פורמט: | ספר |
| שפה: | Undetermined |
| יצא לאור: |
Boston
Harvard Business Review Press
2017
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הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Cần Thơ |
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| LEADER | 01609nam a2200205Ia 4500 | ||
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| 001 | CTU_231255 | ||
| 008 | 210402s9999 xx 000 0 und d | ||
| 082 | |a 658.4 | ||
| 082 | |b D247 | ||
| 100 | |a Davenport, Thomas H. | ||
| 245 | 0 | |a Competing on analytics : | |
| 245 | 4 | |b The new science of winning : updated, with a new introduction | |
| 245 | 0 | |c Thomas H. Davenport, Jeanne G. Harris | |
| 260 | |a Boston | ||
| 260 | |b Harvard Business Review Press | ||
| 260 | |c 2017 | ||
| 520 | |a Leading companies are doing more than just collecting and storing data in large quantities--they're now driving their competitive strategies based on data-driven insights. And achieving impressive results: Identifying the most profitable customers, accelerating product innovation, optimizing supply chains and pricing, and leveraging the true drivers of financial performance. The secret weapon? Analytics--sophisticated quantitative and statistical analysis and predictive modeling supported by data-savvy leaders and powerful information technology. In Competing on Analytics, Davenport and Harris explain how analytics are transforming the basis of competition in industry after industry. They show how organizations as diverse as Procter & Gamble, Capital One, CEMEX, and the Boston Red Sox are using these tools to outperform rivals, by applying analytics to finance, manufacturing, R&D, HR, and with customers and suppliers. | ||
| 650 | |a Trí tuệ doanh nghiệp,Khai phá dữ liệu,Business intelligence,Data mining | ||
| 910 | |b vtbtruc | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Cần Thơ | ||