recent trends data science (13 Ergebnisse)

Zustand: Good. 523 pp., Paperback, ex library, else text clean and binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Zustand: Very Good. 356 pp., Paperback, label and tape to spine, else very good. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

1993. 360 p. Unread book. Very good condition. Minimum traces of storage. 9783540563792 Sprache: Englisch Gewicht in Gramm: 386 Softcover, Größe: 15.5 x 2.1 x 23.5 cm.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

xxiii, 1126 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

paperback. Zustand: Gut. 568 Seiten; 9783540616290.3 Gewicht in Gramm: 1.

Taschenbuch. Zustand: Neu. Neuware -Bachelor Thesis from the year 2021 in the subject Business economics - Miscellaneous, grade: 1,0, Pforzheim University, language: English, abstract: Big data is getting larger, the pressure in the market to use the existing data is getting stronger and therefore also the number of companies that address the topic of data science increases. This dissertation focuses on identifying big or smart data science trends in marketing and sales within the consumer-packaged goods industry. The objective of this research is to address actual opportunities around data science for the selected focus area. The following research project analyzes those opportunities and identifies nine data science trends. Via in-depth interviews, the expert¿s experiences and difficulties with data science are questioned, emotions that arise through the interaction with this science are recognized, and potentials for improvements are discussed. Subsequently, central meaningful quotations are analyzed with Mayring¿s qualitative content analysis, reformulated into condensed codes, and summarized through eighteen overarching categories. The general findings of this analysis include the necessity of smart data insights within this low margin industry, the dependence on consultancy support due to knowledge gaps, expandable engagement in the B2B environment, the promotion of data-thinking and acting, the merge of sales and marketing for data science knowledge generations, and the extension of data science knowledge to maintain competitive advantage within the market for the long run. The improvement proposals consist mainly of automated data cleaning, intelligent algorithms, data handling knowledge development, data democracy, and knowledge combinations in form of project dependent focus teams to broaden data science applications within the industry. 144 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bachelor Thesis from the year 2021 in the subject Business economics - Miscellaneous, grade: 1,0, Pforzheim University, language: English, abstract: Big data is getting larger, the pressure in the market to use the existing data is getting stronger and therefore also the number of companies that address the topic of data science increases. This dissertation focuses on identifying big or smart data science trends in marketing and sales within the consumer-packaged goods industry. The objective of this research is to address actual opportunities around data science for the selected focus area. The following research project analyzes those opportunities and identifies nine data science trends. Via in-depth interviews, the expert¿s experiences and difficulties with data science are questioned, emotions that arise through the interaction with this science are recognized, and potentials for improvements are discussed. Subsequently, central meaningful quotations are analyzed with Mayring¿s qualitative content analysis, reformulated into condensed codes, and summarized through eighteen overarching categories. The general findings of this analysis include the necessity of smart data insights within this low margin industry, the dependence on consultancy support due to knowledge gaps, expandable engagement in the B2B environment, the promotion of data-thinking and acting, the merge of sales and marketing for data science knowledge generations, and the extension of data science knowledge to maintain competitive advantage within the market for the long run. The improvement proposals consist mainly of automated data cleaning, intelligent algorithms, data handling knowledge development, data democracy, and knowledge combinations in form of project dependent focus teams to broaden data science applications within the industry.

Taschenbuch. Zustand: Neu. Big or Smart Data? Recent trends in Data Science for sales and marketing | An empirical analysis of the consumer-packaged goods industry | Julia Ertel | Taschenbuch | Englisch | 2022 | GRIN Verlag | EAN 9783346640642 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: New.

Hardcover. Zustand: Brand New. 300 pages. 9.69x6.88x1.02 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware -This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23¿24, 2018. The main theme of the conference was ¿Data Science, AI and IoT Trends for the Fourth Industrial Revolution.¿ A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 1152 pp. Englisch.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23-24, 2018. The main theme of the conference was 'Data Science, AI and IoT Trends for the Fourth Industrial Revolution.' A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods.