
This article explores the role of large data analysis algorithms in the development of marketing strategies. Various algorithms, their advantages and limitations are considered. The article discusses the effectiveness and potential challenges of marketing decision making based on big data. The results show the critical importance of big data analysis in optimizing marketing strategies, but it is argued that this approach also has ethical and practical limitations.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
