The machine age of customer insight:
The Machine Age of Customer Insightdemonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business an...
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Weitere beteiligte Personen: | , , , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Bingley, UK
Emerald Publishing
2021
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Ausgabe: | First edition |
Schlagwörter: | |
Links: | https://ebookcentral.proquest.com/lib/th-deggendorf/detail.action?docID=6510792 https://doi.org/10.1108/9781839096945 https://doi.org/10.1108/9781839096945 https://doi.org/10.1108/9781839096945 https://doi.org/10.1108/9781839096945 https://doi.org/10.1108/9781839096945 https://doi.org/10.1108/9781839096945 https://doi.org/10.1108/9781839096945 |
Zusammenfassung: | The Machine Age of Customer Insightdemonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically |
Umfang: | 1 Online-Ressource (vi, 231 Seiten) |
ISBN: | 9781839096945 9781839096969 |
DOI: | 10.1108/9781839096945 |
Internformat
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Datensatz im Suchindex
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any_adam_object | |
author2 | Einhorn, Martin 1973- Löffler, Michael Bellis, Emanuel de 1985- Herrmann, Andreas 1964- Burghartz, Pia 1989- |
author2_role | edt edt edt edt edt |
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bvnumber | BV047259172 |
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discipline | Informatik Wirtschaftswissenschaften |
doi_str_mv | 10.1108/9781839096945 |
edition | First edition |
format | Electronic eBook |
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id | DE-604.BV047259172 |
illustrated | Not Illustrated |
indexdate | 2024-12-20T19:14:18Z |
institution | BVB |
isbn | 9781839096945 9781839096969 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032663066 |
oclc_num | 1249665942 |
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physical | 1 Online-Ressource (vi, 231 Seiten) |
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publishDate | 2021 |
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publisher | Emerald Publishing |
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spelling | The machine age of customer insight edited by Dr. Martin Einhorn, Prof. Dr. Michael Löffler, Prof. Dr. Emanuel de Bellis, Prof. Dr. Andreas Herrmann, Pia Burghartz First edition Bingley, UK Emerald Publishing 2021 1 Online-Ressource (vi, 231 Seiten) txt rdacontent c rdamedia cr rdacarrier The Machine Age of Customer Insightdemonstrates the impact of machine learning and data analytics, combining an academic state-of-the-art overview of machine learning with cases from well-known companies. These cases show the opportunities and challenges of the transformation process for business and for customer insights more specifically Consumer behavior / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Kundenprofil (DE-588)7559163-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 s Datenanalyse (DE-588)4123037-1 s Kundenprofil (DE-588)7559163-7 s DE-604 Einhorn, Martin 1973- (DE-588)129983349 edt Löffler, Michael (DE-588)171437772 edt Bellis, Emanuel de 1985- (DE-588)1076256287 edt Herrmann, Andreas 1964- (DE-588)12117526X edt Burghartz, Pia 1989- (DE-588)1243113383 edt Erscheint auch als Druck-Ausgabe 978-1-83909-697-6 https://doi.org/10.1108/9781839096945 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | The machine age of customer insight Consumer behavior / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Kundenprofil (DE-588)7559163-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
subject_GND | (DE-588)4193754-5 (DE-588)7559163-7 (DE-588)4123037-1 |
title | The machine age of customer insight |
title_auth | The machine age of customer insight |
title_exact_search | The machine age of customer insight |
title_full | The machine age of customer insight edited by Dr. Martin Einhorn, Prof. Dr. Michael Löffler, Prof. Dr. Emanuel de Bellis, Prof. Dr. Andreas Herrmann, Pia Burghartz |
title_fullStr | The machine age of customer insight edited by Dr. Martin Einhorn, Prof. Dr. Michael Löffler, Prof. Dr. Emanuel de Bellis, Prof. Dr. Andreas Herrmann, Pia Burghartz |
title_full_unstemmed | The machine age of customer insight edited by Dr. Martin Einhorn, Prof. Dr. Michael Löffler, Prof. Dr. Emanuel de Bellis, Prof. Dr. Andreas Herrmann, Pia Burghartz |
title_short | The machine age of customer insight |
title_sort | the machine age of customer insight |
topic | Consumer behavior / Data processing Machine learning Maschinelles Lernen (DE-588)4193754-5 gnd Kundenprofil (DE-588)7559163-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
topic_facet | Consumer behavior / Data processing Machine learning Maschinelles Lernen Kundenprofil Datenanalyse |
url | https://doi.org/10.1108/9781839096945 |
work_keys_str_mv | AT einhornmartin themachineageofcustomerinsight AT lofflermichael themachineageofcustomerinsight AT bellisemanuelde themachineageofcustomerinsight AT herrmannandreas themachineageofcustomerinsight AT burghartzpia themachineageofcustomerinsight |