Market Intelligence Aggregation

Aishwarya, Godbole and Khushi, Dudhabarve and Prof. Suman, Sengupta (2024) Market Intelligence Aggregation. International Journal of Trend in Scientific Research and Development, 8 (5). pp. 1046-1054. ISSN 2456-6470

Text ijtsrd70496.pdf Download (1MB)

Abstract

Market Intelligence Aggregation is a critical process in modern business strategy, involving the systematic collection and analysis of market-related information from various sources. This process aids organizations in making well-informed decisions by providing insights into market trends, competitor activities, and consumer behaviors. Despite its significance, the aggregation of market intelligence presents several challenges, including data quality, integration, and the need for real-time updates. This paper explores the methodologies and tools used in Market Intelligence Aggregation, with a particular focus on leveraging RSS (Really Simple Syndication) feeds to automate the process.RSS feeds enable the automated fetching of news and articles from diverse websites, offering up-to-date content in a standardized format. By integrating RSS feeds into market intelligence systems, businesses can streamline the aggregation process, ensuring the timely delivery of the latest market updates to users. This approach addresses the challenges of traditional aggregation methods by improving data accuracy and relevance while reducing the time required for manual data collection.The paper proposes a framework for Market Intelligence Aggregation that utilizes RSS feeds to enhance the efficiency and effectiveness of information gathering. It further discusses the integration and analysis of aggregated data, highlighting how it can be synthesized into actionable insights for strategic decision-making. The study includes case studies of organizations that have successfully implemented automated market intelligence systems, showcasing the practical applications and benefits of this approach.By examining current practices and future trends in market intelligence, this paper aims to provide a comprehensive understanding of how automated aggregation using RSS feeds can transform market research. It also addresses potential challenges, including data quality, privacy concerns, and the need for scalability in dynamic market environments. This research contributes to the field by offering insights into optimizing market intelligence processes, ultimately aiding businesses in maintaining a competitive edge through informed decision-making.

Item Type:	Article
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	26 Oct 2024 09:23
Last Modified:	26 Oct 2024 09:23
URI:	http://eprints.umsida.ac.id/id/eprint/14432

Actions (login required)

View Item