Applications and Challenges of Big Data in Market Analytics

This paper explores the applications and challenges of big data in market analysis. It first introduces the definition, characteristics and sources of big data, and analyzes in depth the impact of advances in big data technology on market analysis. It then discusses specific applications of big data in customer behavior analysis, market trend forecasting, competitive analysis, and product development innovation, and analyzes the challenges faced, such as data quality, privacy and security, technological complexity, and cost investment. Solutions and best practices are further explored, including improved data quality, enhanced data privacy security, technology innovation and tool optimization, and return on investment optimization. Finally, key success factors and strategies to address Big Data in market analytics are summarized by comparing success and failure cases. This paper aims to provide organizations with a comprehensive perspective on understanding and applying big data to drive long-term business success in a competitive market environment.

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Publication Details

Journal
Transactions on Economics Business and Management Research
Published
2024-08-21
DOI
https://doi.org/10.62051/77dhvn60
Citations
2
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
1.06
Controls
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article

Applications and Challenges of Big Data in Market Analytics

Yingxuan Yang
2 citations
Transactions on Economics Business and Management Research
Big Data and Business Intelligence
1.06
article

Applications and Challenges of Big Data in Market Analytics

Yingxuan Yang
article en
2 citations

Abstract

This paper explores the applications and challenges of big data in market analysis. It first introduces the definition, characteristics and sources of big data, and analyzes in depth the impact of advances in big data technology on market analysis. It then discusses specific applications of big data in customer behavior analysis, market trend forecasting, competitive analysis, and product development innovation, and analyzes the challenges faced, such as data quality, privacy and security, technological complexity, and cost investment. Solutions and best practices are further explored, including improved data quality, enhanced data privacy security, technology innovation and tool optimization, and return on investment optimization. Finally, key success factors and strategies to address Big Data in market analytics are summarized by comparing success and failure cases. This paper aims to provide organizations with a comprehensive perspective on understanding and applying big data to drive long-term business success in a competitive market environment.

Transactions on Economics Business and Management ResearchVol. 9
New York University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Big Data and Business Intelligence
1.06
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Applications and Challenges of Big Data in Market Analytics — Yingxuan Yang · Transactions on Economics Business and Management Research (2024) | TGRS Research Map | TGRS