Unveiling Data's Tapestry: Challenges, Opportunities, and Netflix's Analytical Triumph

Abstract

The exponential expansion of data collection and the development of better methods for processing and analyzing it have been the primary drivers of the data analytics industry's meteoric rise in popularity in the last several years. This article explores the present state of data analytics, focusing on its possible problems, prospects, and growth trajectory. The decision-making processes, operational efficiency, and innovative capabilities of firms, organizations, and communities in all kinds of different industries have been profoundly affected by this rise. To further demonstrate the significance of data analytics to Netflix's success, the article includes a case study of the firm.

The ever-changing IT business offers many possibilities and risks. Technology has constantly transformed our digital lives, affecting industry-defining professions. AI has gone from science fiction to our digital lives, from chatbots to autonomous automobiles. This revolution relied on big data analytics, machine learning, and AI. Machine learning, a subset of data science, has enabled astonishing discoveries and projections by teaching computers new abilities and knowledge without human interaction. The results illustrate data analytics' problems and prospects, explaining Netflix's analytical success. Netflix's complex audience analytics ecosystem is examined in this research.