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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, New York (222 East 46th Street, New York, NY 10017)
Business Expert Press
2020
|
| Ausgabe: | First edition |
| Schriftenreihe: | Big data, business analytics, and smart technology collection
|
| Schlagworte: | |
| Online-Zugang: | FHN01 UBY01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | Includes bibliographical references (pages 373-375) and index |
| Beschreibung: | 1 Online-Ressource (xviii, 384 pages) |
| ISBN: | 9781631574801 9781631574795 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV047177556 | ||
| 003 | DE-604 | ||
| 005 | 20240417 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 210305s2020 |||| o||u| ||||||eng d | ||
| 020 | |a 9781631574801 |9 978-1-63157-480-1 | ||
| 020 | |a 9781631574795 |9 978-1-63157-479-5 | ||
| 035 | |a (ZDB-191-BEX)9781631574801 | ||
| 035 | |a (OCoLC)1128049885 | ||
| 035 | |a (DE-599)BVBBV047177556 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-92 |a DE-706 | ||
| 082 | 0 | |a 658.4012 |2 23 | |
| 084 | |a QP 880 |0 (DE-625)141964: |2 rvk | ||
| 100 | 1 | |a Sahay, Amar |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Business analytics, Volume II, Predictive analytics |b a data-driven decision-making approach for business |c Amar Sahay, PhD. |
| 246 | 1 | 3 | |a Predictive analytics |
| 250 | |a First edition | ||
| 264 | 1 | |a New York, New York (222 East 46th Street, New York, NY 10017) |b Business Expert Press |c 2020 | |
| 300 | |a 1 Online-Ressource (xviii, 384 pages) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 490 | 0 | |a Big data, business analytics, and smart technology collection | |
| 500 | |a Includes bibliographical references (pages 373-375) and index | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Management / Statistical methods | |
| 650 | 4 | |a Decision making / Statistical methods | |
| 650 | 4 | |a Business planning | |
| 650 | 4 | |a Strategic planning | |
| 650 | 4 | |a Business intelligence | |
| 650 | 0 | 7 | |a Betriebsanalyse |0 (DE-588)4006164-4 |2 gnd |9 rswk-swf |
| 653 | |a Electronic books | ||
| 689 | 0 | 0 | |a Betriebsanalyse |0 (DE-588)4006164-4 |D s |
| 689 | 0 | |5 DE-604 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781631574795 |
| 856 | 4 | 0 | |u https://portal.igpublish.com/iglibrary/search/BEPB0000918.html |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-191-BEX | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-032582911 | ||
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/BEPB0000918.html |l FHN01 |p ZDB-191-BEX |q FHN_PDA_BEX_Kauf |x Verlag |3 Volltext | |
| 966 | e | |u https://portal.igpublish.com/iglibrary/search/BEPB0000918.html |l UBY01 |p ZDB-191-BEX |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804182264523784192 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Sahay, Amar |
| author_facet | Sahay, Amar |
| author_role | aut |
| author_sort | Sahay, Amar |
| author_variant | a s as |
| building | Verbundindex |
| bvnumber | BV047177556 |
| classification_rvk | QP 880 |
| collection | ZDB-191-BEX |
| ctrlnum | (ZDB-191-BEX)9781631574801 (OCoLC)1128049885 (DE-599)BVBBV047177556 |
| dewey-full | 658.4012 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.4012 |
| dewey-search | 658.4012 |
| dewey-sort | 3658.4012 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | First edition |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03965nmm a2200541zc 4500</leader><controlfield tag="001">BV047177556</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20240417 </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">210305s2020 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781631574801</subfield><subfield code="9">978-1-63157-480-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781631574795</subfield><subfield code="9">978-1-63157-479-5</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-191-BEX)9781631574801</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1128049885</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047177556</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-92</subfield><subfield code="a">DE-706</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658.4012</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QP 880</subfield><subfield code="0">(DE-625)141964:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Sahay, Amar</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Business analytics, Volume II, Predictive analytics</subfield><subfield code="b">a data-driven decision-making approach for business</subfield><subfield code="c">Amar Sahay, PhD.</subfield></datafield><datafield tag="246" ind1="1" ind2="3"><subfield code="a">Predictive analytics</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, New York (222 East 46th Street, New York, NY 10017)</subfield><subfield code="b">Business Expert Press</subfield><subfield code="c">2020</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xviii, 384 pages)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Big data, business analytics, and smart technology collection</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 373-375) and index</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Management / Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Decision making / Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business planning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Strategic planning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business intelligence</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Betriebsanalyse</subfield><subfield code="0">(DE-588)4006164-4</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Electronic books</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Betriebsanalyse</subfield><subfield code="0">(DE-588)4006164-4</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781631574795</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://portal.igpublish.com/iglibrary/search/BEPB0000918.html</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-191-BEX</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-032582911</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/BEPB0000918.html</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-191-BEX</subfield><subfield code="q">FHN_PDA_BEX_Kauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://portal.igpublish.com/iglibrary/search/BEPB0000918.html</subfield><subfield code="l">UBY01</subfield><subfield code="p">ZDB-191-BEX</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV047177556 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:44:55Z |
| indexdate | 2024-07-10T09:04:47Z |
| institution | BVB |
| isbn | 9781631574801 9781631574795 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032582911 |
| oclc_num | 1128049885 |
| open_access_boolean | |
| owner | DE-92 DE-706 |
| owner_facet | DE-92 DE-706 |
| physical | 1 Online-Ressource (xviii, 384 pages) |
| psigel | ZDB-191-BEX ZDB-191-BEX FHN_PDA_BEX_Kauf |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Business Expert Press |
| record_format | marc |
| series2 | Big data, business analytics, and smart technology collection |
| 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 |
| url | https://portal.igpublish.com/iglibrary/search/BEPB0000918.html |
| work_keys_str_mv | AT sahayamar businessanalyticsvolumeiipredictiveanalyticsadatadrivendecisionmakingapproachforbusiness AT sahayamar predictiveanalytics |