Big data and its effective role in supporting the different business sectors in multiple environments: an analytical study

Salmah Salem ALbeladi

Big data is of great importance for companies and organizations of all kinds. In fact, it helps them survive and achieve a competitive advantage, which contributes to attracting new beneficiaries to increase the percentage of their profits and services. At this level, big data provides a deeper understanding in discovering some unclear patterns and practices that constitute an important factor not only in understanding customer requirements but also in making effective decisions. The current study aims at identifying and shedding light on big data technology, and then learning how to apply it in different business sectors. The study used the descriptive analytical method using a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis to accomplish these goals, which is concerned with identifying the strengths and weaknesses of big data technology in the various business branches and diagnosing the opportunities and threats of that technology. Accordingly, big data technology's significant contribution to the growth of the numerous operations and activities of various business sectors is one of the study's most notable conclusions. Indeed, it helps them improve visibility, make better and more accurate decisions in a timely manner, analyze market sectors, identify new business opportunities, improve and simplify operations, and provide predictive analytics capabilities to discover customer trends. The current study also resulted in a list of recommendations, the most notable of which was that professionals in the field of business and information technology around the world should cooperate to develop big data, make it more effective, and pay more attention to the legal and security aspects of big data technology. Cloud computing, social media, mobile and digital computing technologies along with a growing number of transactions are fueling data growth. Big data technologies enable quick data capture, identification, and/or analysis in order to get economic value from massive amounts of various and diversified data. These technologies are applied in all sectors. Big data has several applications, including risk analysis, customer feedback analysis, process analysis, transaction analysis, IT security, and more. Many instances of big data use cases include analytics and discovery (such as data mining, multi-dimensional analytics, and “interactive” visual data), information management (such as access to information through search and access across multiple content and data sources), and infrastructure (such as a social networking platform via Internet, gaming, retail, and transaction processing). All these features and characteristics have increased the importance of their use and application in all work environments in multiple sectors. 

Advanced Studies: Euro-Tbilisi Mathematical Journal, Vol. 16,  supplement issue 2 (2023), pp. 95-109