Social media data analytics for business decision making system to competitive analysis / Viviana Awing Epoi

• Main Author: Awing Epoi, Viviana
• Other Authors: Jack, Suriani
• Format: Book Section
• Language: English
• Published: Perpustakaan Tun Abdul Razak, Universiti Teknologi MARA Sarawak 2022
• Subjects: H Social Sciences (General); Study and teaching. Research; Business education; Business; T Technology (General)
• Online Access: https://ir.uitm.edu.my/id/eprint/64741/1/64741.pdf; https://ir.uitm.edu.my/id/eprint/64741/

This article is about how Social Media Data Analytics helps in business decision making system. The reason why I am choosing this article is that I want to know how does the data collected from social media analyzed to be used in business decisions. Next, I want to know how does the social media data analytics used to develop the business decision making system (BDMS). Social media networks (SMN) refer to the use of internet-based social media sites to stay connected with friends, family, colleagues, customers, or clients. SMN data is an interesting, complicated information source for business decision-making systems (Ruan et al., 2019). Through sites like Facebook, Twitter, LinkedIn, and Instagram, social networking can serve either social, business, or both purposes. For marketers looking to engage clients, social networking is a valuable resource. For the past few years, business intelligence has been a major field that use data analysis to generate important information for company decision-making. Social media analytics (SMA) is the process of analyzing data obtained from social media sites and blogs in order to make business decisions and measure the performance of actions based on those decisions through social media. As a result, the business decision making system (BDMS) has been developed in this study as a way to create a business using social media data analytics.