Analytics and dynamic customer strategy: big profits from big data
"Key decisions determine the success of big data strategyDynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in...
Gespeichert in:
Beteilige Person: | |
---|---|
Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hoboken, N.J.
Wiley
2014
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781118919774/?ar |
Zusammenfassung: | "Key decisions determine the success of big data strategyDynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works"-- |
Beschreibung: | Includes index. - Includes bibliographical references and index. - Print version record and CIP data provided by publisher |
Umfang: | 1 Online-Ressource (xviii, 235 Seiten) illustrations |
ISBN: | 9781118919781 1118919785 9781118919774 1118919777 1118905733 9781118905739 9781306892926 1306892929 |
Internformat
MARC
LEADER | 00000cam a22000002 4500 | ||
---|---|---|---|
001 | ZDB-30-ORH-047546913 | ||
003 | DE-627-1 | ||
005 | 20240228115534.0 | ||
007 | cr uuu---uuuuu | ||
008 | 191023s2014 xx |||||o 00| ||eng c | ||
020 | |a 9781118919781 |c electronic bk. |9 978-1-118-91978-1 | ||
020 | |a 1118919785 |c electronic bk. |9 1-118-91978-5 | ||
020 | |a 9781118919774 |c electronic bk. |9 978-1-118-91977-4 | ||
020 | |a 1118919777 |c electronic bk. |9 1-118-91977-7 | ||
020 | |a 1118905733 |9 1-118-90573-3 | ||
020 | |a 9781118905739 |9 978-1-118-90573-9 | ||
020 | |a 9781306892926 |9 978-1-306-89292-6 | ||
020 | |a 1306892929 |9 1-306-89292-9 | ||
035 | |a (DE-627-1)047546913 | ||
035 | |a (DE-599)KEP047546913 | ||
035 | |a (ORHE)9781118919774 | ||
035 | |a (DE-627-1)047546913 | ||
040 | |a DE-627 |b ger |c DE-627 |e rda | ||
041 | |a eng | ||
072 | 7 | |a BUS |2 bisacsh | |
072 | 7 | |a BUS |2 bisacsh | |
072 | 7 | |a BUS |2 bisacsh | |
072 | 7 | |a BUS |2 bisacsh | |
082 | 0 | |a 658.8/34 |2 23 | |
100 | 1 | |a Tanner, John F. |e VerfasserIn |4 aut | |
245 | 1 | 0 | |a Analytics and dynamic customer strategy |b big profits from big data |c John F. (Jeff) Tanner, Jr |
264 | 1 | |a Hoboken, N.J. |b Wiley |c 2014 | |
264 | 4 | |c ©2014 | |
300 | |a 1 Online-Ressource (xviii, 235 Seiten) |b illustrations | ||
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Includes index. - Includes bibliographical references and index. - Print version record and CIP data provided by publisher | ||
520 | |a "Key decisions determine the success of big data strategyDynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works"-- | ||
650 | 0 | |a Customer relations | |
650 | 0 | |a Relationship marketing | |
650 | 0 | |a Big data | |
650 | 4 | |a Données volumineuses | |
650 | 4 | |a Marketing relationnel | |
650 | 4 | |a BUSINESS & ECONOMICS ; Decision-Making & Problem Solving | |
650 | 4 | |a Big data | |
650 | 4 | |a Customer relations | |
650 | 4 | |a Relationship marketing | |
776 | 1 | |z 9781118905739 | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781118905739 |
966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781118919774/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
912 | |a ZDB-30-ORH | ||
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-047546913 |
---|---|
_version_ | 1821494884252516352 |
adam_text | |
any_adam_object | |
author | Tanner, John F. |
author_facet | Tanner, John F. |
author_role | aut |
author_sort | Tanner, John F. |
author_variant | j f t jf jft |
building | Verbundindex |
bvnumber | localTUM |
collection | ZDB-30-ORH |
ctrlnum | (DE-627-1)047546913 (DE-599)KEP047546913 (ORHE)9781118919774 |
dewey-full | 658.8/34 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.8/34 |
dewey-search | 658.8/34 |
dewey-sort | 3658.8 234 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04115cam a22006132 4500</leader><controlfield tag="001">ZDB-30-ORH-047546913</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228115534.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2014 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118919781</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-118-91978-1</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118919785</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-118-91978-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118919774</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">978-1-118-91977-4</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118919777</subfield><subfield code="c">electronic bk.</subfield><subfield code="9">1-118-91977-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118905733</subfield><subfield code="9">1-118-90573-3</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118905739</subfield><subfield code="9">978-1-118-90573-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781306892926</subfield><subfield code="9">978-1-306-89292-6</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1306892929</subfield><subfield code="9">1-306-89292-9</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047546913</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047546913</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781118919774</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047546913</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="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">BUS</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658.8/34</subfield><subfield code="2">23</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Tanner, John F.</subfield><subfield code="e">VerfasserIn</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Analytics and dynamic customer strategy</subfield><subfield code="b">big profits from big data</subfield><subfield code="c">John F. (Jeff) Tanner, Jr</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hoboken, N.J.</subfield><subfield code="b">Wiley</subfield><subfield code="c">2014</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (xviii, 235 Seiten)</subfield><subfield code="b">illustrations</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">Includes index. - Includes bibliographical references and index. - Print version record and CIP data provided by publisher</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"Key decisions determine the success of big data strategyDynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works"--</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Customer relations</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Relationship marketing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Données volumineuses</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Marketing relationnel</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">BUSINESS & ECONOMICS ; Decision-Making & Problem Solving</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big data</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Customer relations</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Relationship marketing</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781118905739</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">9781118905739</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781118919774/?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="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-047546913 |
illustrated | Illustrated |
indexdate | 2025-01-17T11:21:28Z |
institution | BVB |
isbn | 9781118919781 1118919785 9781118919774 1118919777 1118905733 9781118905739 9781306892926 1306892929 |
language | English |
open_access_boolean | |
owner | DE-91 DE-BY-TUM |
owner_facet | DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (xviii, 235 Seiten) illustrations |
psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
publishDate | 2014 |
publishDateSearch | 2014 |
publishDateSort | 2014 |
publisher | Wiley |
record_format | marc |
spelling | Tanner, John F. VerfasserIn aut Analytics and dynamic customer strategy big profits from big data John F. (Jeff) Tanner, Jr Hoboken, N.J. Wiley 2014 ©2014 1 Online-Ressource (xviii, 235 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Includes bibliographical references and index. - Print version record and CIP data provided by publisher "Key decisions determine the success of big data strategyDynamic Customer Strategy: Big Profits from Big Data is a comprehensive guide to exploiting big data for both business-to-consumer and business-to-business marketing. This complete guide provides a process for rigorous decision making in navigating the data-driven industry shift, informing marketing practice, and aiding businesses in early adoption. Using data from a five-year study to illustrate important concepts and scenarios along the way, the author speaks directly to marketing and operations professionals who may not necessarily be big data savvy. With expert insight and clear analysis, the book helps eliminate paralysis-by-analysis and optimize decision making for marketing performance. Nearly seventy-five percent of marketers plan to adopt a big data analytics solution within two years, but many are likely to fail. Despite intensive planning, generous spending, and the best intentions, these initiatives will not succeed without a manager at the helm who is capable of handling the nuances of big data projects. This requires a new way of marketing, and a new approach to data. It means applying new models and metrics to brand new consumer behaviors. Dynamic Customer Strategy clarifies the situation, and highlights the key decisions that have the greatest impact on a company's big data plan. Topics include: Applying the elements of Dynamic Customer Strategy Acquiring, mining, and analyzing data Metrics and models for big data utilization Shifting perspective from model to customer Big data is a tremendous opportunity for marketers and may just be the only factor that will allow marketers to keep pace with the changing consumer and thus keep brands relevant at a time of unprecedented choice. But like any tool, it must be wielded with skill and precision. Dynamic Customer Strategy: Big Profits from Big Data helps marketers shape a strategy that works"-- Customer relations Relationship marketing Big data Données volumineuses Marketing relationnel BUSINESS & ECONOMICS ; Decision-Making & Problem Solving 9781118905739 Erscheint auch als Druck-Ausgabe 9781118905739 |
spellingShingle | Tanner, John F. Analytics and dynamic customer strategy big profits from big data Customer relations Relationship marketing Big data Données volumineuses Marketing relationnel BUSINESS & ECONOMICS ; Decision-Making & Problem Solving |
title | Analytics and dynamic customer strategy big profits from big data |
title_auth | Analytics and dynamic customer strategy big profits from big data |
title_exact_search | Analytics and dynamic customer strategy big profits from big data |
title_full | Analytics and dynamic customer strategy big profits from big data John F. (Jeff) Tanner, Jr |
title_fullStr | Analytics and dynamic customer strategy big profits from big data John F. (Jeff) Tanner, Jr |
title_full_unstemmed | Analytics and dynamic customer strategy big profits from big data John F. (Jeff) Tanner, Jr |
title_short | Analytics and dynamic customer strategy |
title_sort | analytics and dynamic customer strategy big profits from big data |
title_sub | big profits from big data |
topic | Customer relations Relationship marketing Big data Données volumineuses Marketing relationnel BUSINESS & ECONOMICS ; Decision-Making & Problem Solving |
topic_facet | Customer relations Relationship marketing Big data Données volumineuses Marketing relationnel BUSINESS & ECONOMICS ; Decision-Making & Problem Solving |
work_keys_str_mv | AT tannerjohnf analyticsanddynamiccustomerstrategybigprofitsfrombigdata |