Rishitha Ravikumar’s scientific contributions

This paper explores the seamless integration of advanced data tools like Data Engineering, Artificial intelligence and how both of them perfectly aligns and works with the reporting tool Power BI. With all the tools in charge, helps the advancement of businesses of the organization. In today's data driven world, the organizations are highly depended on data and insights that are generated from the existing historical data to gain powerful insights for better decision making. Trends like Predictive Modelling, Sentiment Analysis and Machine Learning and the ability to integrate all of these into Power BI to generate better dashboards and visualizations. Discussing the importance of understanding customers behaviors and patterns, ever changing business needs, important KPI's and how with help of emerging trends like Sentiment Analysis, Natural Language Processing and Predictive Modelling using Machine Learning, which indeed allows organizations for accurate decision making. Concentrating on Data Engineering aspects like Extract, Transform and Load data from multiple sources, Data Warehouses and Data Lakes and how all of these advanced technologies with combine and work ideally with Power BI to provide valid, accurate ad-hoc analysis. Presenting importance of cross functional team collaboration, continuous monitoring and improvement of these advanced data tools for better future of the organization.