Harnessing Data Analytics for Business Transformation: Strategies, Challenges, and Future Directions

Abstract

Since it helps companies to increase innovation, productivity, and decisionmaking by means of improved tools, data analysis is now mostly driving corporate
growth. Data analytics enhances strategic planning, digital transformation, and
business models in many different fields, this paper investigates. Business
intelligence, advanced analytics, DataOps systems, and data science applied to
enhance marketing, supply chains, finance, and human resources systems are covered
in the paper. It also looks at how analytics is applied in actual corporate environments,
draws attention to data silos and regulatory compliance issues, and projects future
analytics integration paths including artificial intelligence, real-time analytics, and
workforce development. Combining useful case studies with ideas from major
scholarly sources produced outcomes from the qualitative literature-based method. The results imply that in a digital economy data analysis is a strategic instrument enabling companies to acquire a competitive advantage.
Key Terms: Artificial intelligence; decision support systems; predictive analytics;
intelligent automation; data integration; ethical artificial intelligence.