Abstract
The emergence of Big Data Analytics (BDA) technologies represents a significant shift towards data-centric decision-making, fundamentally altering approaches in industry and individual prosperity. These innovations have greatly improved the ability to collect, store, process, and analyse large amounts of structured and unstructured data, allowing for the discovery of insights that were previously inaccessible (Hordri et al., 2017). At its core, BDA aims to uncover correlations, influential factors, market patterns, consumer preferences, and other valuable information by utilising advanced algorithms, computational methods, and statistical analysis. This knowledge empowers organisations to improve their operations, develop targeted marketing strategies, enhance product creation, and ultimately enhance customer satisfaction and experience.
Recommended Citation
Georgiadis, Georgios and Poels, Geert, "Towards Establishing a Comprehensive Privacy Impact Assessment Methodology for Big Data Analytics in Compliance with the General Data Protection Regulation" (2023). International Conference on Information Systems 2023 Special Interest Group on Big Data Proceedings. 5.
https://aisel.aisnet.org/sigbd2023/5