Exploring the Aggregated and Granular Impact of Big Data Analytics on a Firm's Performance Through Web Scraping-based Methodology

Résumé du livre

Organizations can use big data analytics to evaluate large data volumes over the internet and garner meaningful insights. This case aims to explain the application of the tool we have developed for retrieving information about big data techniques used by the companies in our sample. In this context, web scraping is an essential strategy. This approach aids in answering basic inquiries concerning business operations and performance as well as the discovery of unknown patterns in massive datasets or combinations of datasets. Overall, companies use big data in their systems to enhance operations, provide better customer service, generate targeted marketing campaigns, and initiate other activities that can raise revenue and profitability in the long run. Therefore, applying and analyzing big data approaches for business growth in today's data-driven world is becoming increasingly important. We start with a short literature review about web scraping, then discuss the tools and methods utilized, describing how the developed tool was applied to the specific scenario of retrieving information about big data usage in the enterprises presented in our sample.