株式会社極東書店トップ ＞ 商品一覧 ＞ Data Analytics in Marketing, Entrepreneurship, and Innovation.
商品詳細
Data Analytics in Marketing, Entrepreneurship, and Innovation. マーケティング、企業家精神、 イノベーションにおけるデータ解析
・ISBN 978-0-367-18483-4 2021 hard GB£ 103.99
￥32,943.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
・ISBN 978-0-367-69764-8 2023 paper GB£ 57.99
￥18,371.- (税込) ※（※）価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
電子版あり 大学・学術機関向け電子ブック（eBook）ISBN 978-0-429-19661-4
| 著者・編者 | Kehal, Mounir / Zhang, Zuopeng (eds.), |
|---|---|
| シリーズ | Data Analytics Applications |
| 出版社 | (Auerbach, US) |
| 出版年月 | 2021.01 |
| ページ数 | 182 pp. |
| 言語 | ENG |
| ニュース番号 | ＜660-L1067 660-L1075＞ |
解説
Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at:
- Business analytics
- Applying predictive analytics
- Using discrete choice analysis for decision-making
- Marketing and customer analytics
- Developing new products
- Technopreneurship
- Disruptive versus incremental innovation
The book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.