The combination between Big Data and Marketing Strategies to gain valuable Business Insights for better Production Success
| Autor: | Yassine Tabaa, Jihad Saidali, Abdellatif Medouri, Hassane Rahich |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Big data 02 engineering and technology Industrial and Manufacturing Engineering Personalization 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Artificial Intelligence Analytics Scale (social sciences) Business decision mapping Production (economics) Marketing analytics Marketing business |
| Zdroj: | Procedia Manufacturing. 32:1017-1023 |
| ISSN: | 2351-9789 |
| DOI: | 10.1016/j.promfg.2019.02.316 |
| Popis: | Our target is to discover a solution, which is offered by Big Data Analytics (BDA), to resolve the lack of production success. Thus, this article introduces the difference between Big Data Analytics and Classical Marketing Analytics (CMA). It also suggests a theoretical study to offer better marketing strategies to promote the production. This theoretical study combines Big Data Analytics and Classical analytics, to obtain more valuable insights to improve production success, making a business decision in real time by thoroughly checking these analytics – BDA and CMA- and choosing the high scale of complexity and customization of this combination. In addition, it demonstrates that there is knowledge of prediction, which tests the effect of Marketing Behavior on production development. Moreover, it articulates the joint effects of marketing behavior and Marketing Turbulence on production improvement by identifying customer’s needs and interests, and gaining early decisions. |
| Databáze: | OpenAIRE |
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