Data analytics for business lessons for sales, marketing, and strategy
Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
[Old Saybrook, Connecticut]
Tantor Media, Inc.
[2024]
|
| Ausgabe: | [First edition]. |
| Schlagworte: | |
| Online-Zugang: | lizenzpflichtig |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
MARC
| LEADER | 00000nam a22000002 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-108531163 | ||
| 003 | DE-627-1 | ||
| 005 | 20241001123232.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 241001s2024 xx |||||o 00| ||eng c | ||
| 020 | |a 9798350837391 |c electronic audio bk. |9 979-8-3508-3739-1 | ||
| 035 | |a (DE-627-1)108531163 | ||
| 035 | |a (DE-599)KEP108531163 | ||
| 035 | |a (ORHE)9798350837391 | ||
| 035 | |a (DE-627-1)108531163 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 082 | 0 | |a 658/.05 |2 23/eng/20240924 | |
| 100 | 1 | |a Haimowitz, Ira J. |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Data analytics for business |b lessons for sales, marketing, and strategy |c Ira J. Haimowitz |
| 250 | |a [First edition]. | ||
| 264 | 1 | |a [Old Saybrook, Connecticut] |b Tantor Media, Inc. |c [2024] | |
| 300 | |a 1 online resource (1 sound file (6 hr., 12 min.)) | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Online resource; title from title details screen (O'Reilly, viewed September 24, 2024) | ||
| 520 | |a Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author's twenty-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics. | ||
| 650 | 0 | |a Business |x Data processing | |
| 650 | 0 | |a Marketing |x Data processing | |
| 650 | 0 | |a Machine learning | |
| 650 | 4 | |a Gestion ; Informatique | |
| 650 | 4 | |a Marketing ; Informatique | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Audiobooks | |
| 650 | 4 | |a Livres audio | |
| 700 | 1 | |a Greenley, Ray |e ErzählerIn |4 nrt | |
| 856 | 4 | 0 | |l TUM01 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9798350837391/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-108531163 |
|---|---|
| _version_ | 1818767362746220544 |
| adam_text | |
| any_adam_object | |
| author | Haimowitz, Ira J. |
| author2 | Greenley, Ray |
| author2_role | nrt |
| author2_variant | r g rg |
| author_facet | Haimowitz, Ira J. Greenley, Ray |
| author_role | aut |
| author_sort | Haimowitz, Ira J. |
| author_variant | i j h ij ijh |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)108531163 (DE-599)KEP108531163 (ORHE)9798350837391 |
| dewey-full | 658/.05 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658/.05 |
| dewey-search | 658/.05 |
| dewey-sort | 3658 15 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | 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>02694nam a22004452 4500</leader><controlfield tag="001">ZDB-30-ORH-108531163</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20241001123232.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">241001s2024 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9798350837391</subfield><subfield code="c">electronic audio bk.</subfield><subfield code="9">979-8-3508-3739-1</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)108531163</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP108531163</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9798350837391</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)108531163</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658/.05</subfield><subfield code="2">23/eng/20240924</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Haimowitz, Ira J.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Data analytics for business</subfield><subfield code="b">lessons for sales, marketing, and strategy</subfield><subfield code="c">Ira J. Haimowitz</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">[First edition].</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Old Saybrook, Connecticut]</subfield><subfield code="b">Tantor Media, Inc.</subfield><subfield code="c">[2024]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 sound file (6 hr., 12 min.))</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Online resource; title from title details screen (O'Reilly, viewed September 24, 2024)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author's twenty-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Business</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Marketing</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Gestion ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Marketing ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Apprentissage automatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Audiobooks</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Livres audio</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Greenley, Ray</subfield><subfield code="e">ErzählerIn</subfield><subfield code="4">nrt</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">TUM01</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9798350837391/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-108531163 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-18T08:48:41Z |
| institution | BVB |
| isbn | 9798350837391 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (1 sound file (6 hr., 12 min.)) |
| psigel | ZDB-30-ORH |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | Tantor Media, Inc. |
| record_format | marc |
| spelling | Haimowitz, Ira J. VerfasserIn aut Data analytics for business lessons for sales, marketing, and strategy Ira J. Haimowitz [First edition]. [Old Saybrook, Connecticut] Tantor Media, Inc. [2024] 1 online resource (1 sound file (6 hr., 12 min.)) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed September 24, 2024) Interest in applying analytics, machine learning, and artificial intelligence to sales and marketing has grown dramatically, with no signs of slowing down. This book provides essential guidance to apply advanced analytics and data mining techniques to real-world business applications. The foundation of this text is the author's twenty-plus years of developing and delivering big data and artificial intelligence solutions across multiple industries: financial services, pharmaceuticals, consumer packaged goods, media, and retail. He provides guidelines and summarized cases for those studying or working in the fields of data science, data engineering, and business analytics. The book also offers a distinctive style: a series of essays, each of which summarizes a critical lesson or provides a step-by-step business process, with specific examples of successes and failures. Sales and marketing executives, project managers, business and engineering professionals, and graduate students will find this clear and comprehensive book the ideal companion when navigating the complex world of big data analytics. Business Data processing Marketing Data processing Machine learning Gestion ; Informatique Marketing ; Informatique Apprentissage automatique Audiobooks Livres audio Greenley, Ray ErzählerIn nrt TUM01 ZDB-30-ORH TUM_PDA_ORH https://learning.oreilly.com/library/view/-/9798350837391/?ar X:ORHE Aggregator lizenzpflichtig Volltext |
| spellingShingle | Haimowitz, Ira J. Data analytics for business lessons for sales, marketing, and strategy Business Data processing Marketing Data processing Machine learning Gestion ; Informatique Marketing ; Informatique Apprentissage automatique Audiobooks Livres audio |
| title | Data analytics for business lessons for sales, marketing, and strategy |
| title_auth | Data analytics for business lessons for sales, marketing, and strategy |
| title_exact_search | Data analytics for business lessons for sales, marketing, and strategy |
| title_full | Data analytics for business lessons for sales, marketing, and strategy Ira J. Haimowitz |
| title_fullStr | Data analytics for business lessons for sales, marketing, and strategy Ira J. Haimowitz |
| title_full_unstemmed | Data analytics for business lessons for sales, marketing, and strategy Ira J. Haimowitz |
| title_short | Data analytics for business |
| title_sort | data analytics for business lessons for sales marketing and strategy |
| title_sub | lessons for sales, marketing, and strategy |
| topic | Business Data processing Marketing Data processing Machine learning Gestion ; Informatique Marketing ; Informatique Apprentissage automatique Audiobooks Livres audio |
| topic_facet | Business Data processing Marketing Data processing Machine learning Gestion ; Informatique Marketing ; Informatique Apprentissage automatique Audiobooks Livres audio |
| url | https://learning.oreilly.com/library/view/-/9798350837391/?ar |
| work_keys_str_mv | AT haimowitziraj dataanalyticsforbusinesslessonsforsalesmarketingandstrategy AT greenleyray dataanalyticsforbusinesslessonsforsalesmarketingandstrategy |