Paper Contents
Abstract
In the rapidly evolving landscape of data analytics, organizations are increasingly turning to advanced tools like Power BI and Snowflake to build effective business intelligence dashboards. This study explores the integration of these two powerful platforms to enhance data visualization and decision-making processes. Power BI, renowned for its intuitive interface and robust analytical capabilities, allows users to create dynamic reports and dashboards that transform raw data into actionable insights. Meanwhile, Snowflake, a cloud-based data warehousing solution, offers scalability, performance, and secure data sharing, making it an ideal backend for handling large datasets. This research highlights the synergistic relationship between Power BI and Snowflake, emphasizing how their combined capabilities can streamline data management and analytics. Key components such as data connection, transformation, and visualization are examined to demonstrate best practices in dashboard design. Furthermore, the study addresses the challenges and solutions associated with integrating these tools, including data latency, security considerations, and user training. By providing a comprehensive framework for building business intelligence dashboards, this study aims to empower organizations to leverage their data more effectively, driving informed decision-making and fostering a culture of data-driven insights. Ultimately, the findings underline the significance of adopting integrated analytics solutions in today’s competitive business environment, where timely access to information is crucial for success.
Copyright
Copyright © 2023 Ravi Kiran Pagidi, Jaswanth Alahari, Aravind Ayyagiri, Prof.(Dr) Punit Goel, Prof.(Dr.) Arpit Jain, Er. Aman Shrivastav. This is an open access article distributed under the Creative Commons Attribution License.
