Impact of the Rise of Data Science on Marketing
Abstract
As an important activity for businesses to acquire customers, drive sales, and establish brand image, marketing faces tremendous
challenges and opportunities. The rise of data science has brought new ways of thinking and tools to marketing, enabling marketing professionals to implement strategies more effectively, optimize marketing activities, and improve performance. Data science not only helps marketers better understand consumer behavior and demands but also provides personalized marketing solutions, improving market responsiveness
and reducing decision risks. By deeply exploring and analyzing massive amounts of data, businesses can better grasp market trends, predict
future developments, and achieve precision marketing. Based on this, this article discusses the impact of the rise of data science on marketing
for the reference of relevant practitioners.
challenges and opportunities. The rise of data science has brought new ways of thinking and tools to marketing, enabling marketing professionals to implement strategies more effectively, optimize marketing activities, and improve performance. Data science not only helps marketers better understand consumer behavior and demands but also provides personalized marketing solutions, improving market responsiveness
and reducing decision risks. By deeply exploring and analyzing massive amounts of data, businesses can better grasp market trends, predict
future developments, and achieve precision marketing. Based on this, this article discusses the impact of the rise of data science on marketing
for the reference of relevant practitioners.
Keywords
Data science; Marketing; Impact; Recommendations
Full Text:
PDFReferences
[1] Faruk Mohammad, Hossain Sarker Mohammad Amzad, Al Mamun Abdullah, Hasan Shahedul. Adoption of big data analytics in marketing: an analysis in Bangladesh[J]. Journal of Data, Information and Management, 2022, 4(3-4).
[2] Kong Cheng. Research on Enterprise Digital Precision Marketing Strategy Based on Big Data[J]. Mathematical Problems in Engineering, 2022, 2022.
[3] Ma Haiying, Zhang Xiaoyong. Construction of Smart Marketing Model of Agricultural Products E-Commerce in the Era of Big Data[J]. Mobile Information Systems, 2022, 2022.
DOI: http://dx.doi.org/10.18686/frim.v2i2.4000
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