Constellation, le dépôt institutionnel de l'Université du Québec à Chicoutimi

Résumé

Organizations can use big data analytics to evaluate large data volumes and collect new information. It aids in answering basic inquiries concerning business operations and performance. It also aids in 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 take other activities that can raise revenue and profitability in the long run. Therefore, it’s becoming increasingly important to apply and analyze big data approaches for business growth in today’s data-driven world. More precisely, given the abundance of data available on the Internet, whether via social media, websites, online portals, or platforms, to mention a few, businesses must understand how to mine that data for meaningful insights. In this context, Web scraping is an essential strategy. As a result, this work aims to explain the application of the developed tool to the specific case of retrieving big data information about the particular companies in our sample. The paper starts with a short literature review about Web scraping then discusses the tools and methods utilized, describing how the developed technology was applied to the specific scenario of retrieving information about big data usage in the enterprises present in our sample.