Business analytics, Volume II, Predictive analytics: a data-driven decision-making approach for business
Chapter 1. Business analytics at a glance -- Chapter 2. Business analytics and business intelligence -- Chapter 3. Analytics, business analytics, data analytics, and how they fit into the broad umbrella of business intelligence -- Chapter 4. Descriptive analytics--overview, applications, and a case...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, New York (222 East 46th Street, New York, NY 10017)
Business Expert Press
2020
|
| Edition: | First edition |
| Series: | Big data, business analytics, and smart technology collection
|
| Subjects: | |
| Online Access: | FHN01 UBY01 Volltext |
| Summary: | Chapter 1. Business analytics at a glance -- Chapter 2. Business analytics and business intelligence -- Chapter 3. Analytics, business analytics, data analytics, and how they fit into the broad umbrella of business intelligence -- Chapter 4. Descriptive analytics--overview, applications, and a case -- Chapter 5. Descriptive versus predictive analytics -- Chapter 6. Key predictive analytics models (predicting future business outcomes using analytic models) -- Chapter 7. Regression analysis and modeling -- Chapter 8. Time series analysis and forecasting -- Chapter 9. Data mining: tools and applications in predictive analytics -- Chapter 10. Wrap-up, overview, notes on implementation, and current state of business analytics This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA--descriptive, predictive, and prescriptive--along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics--machine learning, neural networks, and artificial intelligence. The concluding chapter discusses the current state, job outlook, and certifications in analytics |
| Item Description: | Includes bibliographical references (pages 373-375) and index |
| Physical Description: | 1 Online-Ressource (xviii, 384 pages) |
| ISBN: | 9781631574801 9781631574795 |
Staff View
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| spelling | Sahay, Amar Verfasser aut Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business Amar Sahay, PhD. Predictive analytics First edition New York, New York (222 East 46th Street, New York, NY 10017) Business Expert Press 2020 1 Online-Ressource (xviii, 384 pages) txt rdacontent c rdamedia cr rdacarrier Big data, business analytics, and smart technology collection Includes bibliographical references (pages 373-375) and index Chapter 1. Business analytics at a glance -- Chapter 2. Business analytics and business intelligence -- Chapter 3. Analytics, business analytics, data analytics, and how they fit into the broad umbrella of business intelligence -- Chapter 4. Descriptive analytics--overview, applications, and a case -- Chapter 5. Descriptive versus predictive analytics -- Chapter 6. Key predictive analytics models (predicting future business outcomes using analytic models) -- Chapter 7. Regression analysis and modeling -- Chapter 8. Time series analysis and forecasting -- Chapter 9. Data mining: tools and applications in predictive analytics -- Chapter 10. Wrap-up, overview, notes on implementation, and current state of business analytics This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA--descriptive, predictive, and prescriptive--along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics--machine learning, neural networks, and artificial intelligence. The concluding chapter discusses the current state, job outlook, and certifications in analytics Management / Statistical methods Decision making / Statistical methods Business planning Strategic planning Business intelligence Betriebsanalyse (DE-588)4006164-4 gnd rswk-swf Electronic books Betriebsanalyse (DE-588)4006164-4 s DE-604 Erscheint auch als Druck-Ausgabe 9781631574795 https://portal.igpublish.com/iglibrary/search/BEPB0000918.html Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Sahay, Amar Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business Management / Statistical methods Decision making / Statistical methods Business planning Strategic planning Business intelligence Betriebsanalyse (DE-588)4006164-4 gnd |
| subject_GND | (DE-588)4006164-4 |
| title | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business |
| title_alt | Predictive analytics |
| title_auth | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business |
| title_exact_search | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business |
| title_exact_search_txtP | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business |
| title_full | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business Amar Sahay, PhD. |
| title_fullStr | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business Amar Sahay, PhD. |
| title_full_unstemmed | Business analytics, Volume II, Predictive analytics a data-driven decision-making approach for business Amar Sahay, PhD. |
| title_short | Business analytics, Volume II, Predictive analytics |
| title_sort | business analytics volume ii predictive analytics a data driven decision making approach for business |
| title_sub | a data-driven decision-making approach for business |
| topic | Management / Statistical methods Decision making / Statistical methods Business planning Strategic planning Business intelligence Betriebsanalyse (DE-588)4006164-4 gnd |
| topic_facet | Management / Statistical methods Decision making / Statistical methods Business planning Strategic planning Business intelligence Betriebsanalyse |
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