Hands-on prescriptive analytics: optimizing your decision making with Python
Business decisions in any context--operational, tactical, or strategic--can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made und...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc.
2024
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| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781098153168/?ar |
| Zusammenfassung: | Business decisions in any context--operational, tactical, or strategic--can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty. With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action--what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in the future. |
| Beschreibung: | Includes bibliographical references (pages 367-375) and index. - Online resource; title from PDF title page (EBSCO, viewed October 31, 2024) |
| Umfang: | 1 Online-Ressource (xiii, 394 Seiten) illustrations |
| ISBN: | 9781098153144 1098153146 |
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| spelling | Paczkowski, Walter R. VerfasserIn aut Hands-on prescriptive analytics optimizing your decision making with Python Walter R. Paczkowski First edition. Sebastopol, CA O'Reilly Media, Inc. 2024 1 Online-Ressource (xiii, 394 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references (pages 367-375) and index. - Online resource; title from PDF title page (EBSCO, viewed October 31, 2024) Business decisions in any context--operational, tactical, or strategic--can have considerable consequences. Whether the outcome is positive and rewarding or negative and damaging to the business, its employees, and stakeholders is unknown when action is approved. These decisions are usually made under the proverbial cloud of uncertainty. With this practical guide, data analysts, data scientists, and business analysts will learn why and how maximizing positive consequences and minimizing negative ones requires three forms of rich information: Descriptive analytics explores the results from an action--what has already happened. Predictive analytics focuses on what could happen. The third, prescriptive analytics, informs us what should happen in the future. Decision making Mathematical models Business intelligence Python (Computer program language) Prise de décision ; Modèles mathématiques Python (Langage de programmation) 1098153170 Erscheint auch als Druck-Ausgabe 1098153170 |
| spellingShingle | Paczkowski, Walter R. Hands-on prescriptive analytics optimizing your decision making with Python Decision making Mathematical models Business intelligence Python (Computer program language) Prise de décision ; Modèles mathématiques Python (Langage de programmation) |
| title | Hands-on prescriptive analytics optimizing your decision making with Python |
| title_auth | Hands-on prescriptive analytics optimizing your decision making with Python |
| title_exact_search | Hands-on prescriptive analytics optimizing your decision making with Python |
| title_full | Hands-on prescriptive analytics optimizing your decision making with Python Walter R. Paczkowski |
| title_fullStr | Hands-on prescriptive analytics optimizing your decision making with Python Walter R. Paczkowski |
| title_full_unstemmed | Hands-on prescriptive analytics optimizing your decision making with Python Walter R. Paczkowski |
| title_short | Hands-on prescriptive analytics |
| title_sort | hands on prescriptive analytics optimizing your decision making with python |
| title_sub | optimizing your decision making with Python |
| topic | Decision making Mathematical models Business intelligence Python (Computer program language) Prise de décision ; Modèles mathématiques Python (Langage de programmation) |
| topic_facet | Decision making Mathematical models Business intelligence Python (Computer program language) Prise de décision ; Modèles mathématiques Python (Langage de programmation) |
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