Analytics and reporting with Google Cloud platform and Microsoft Power BI
DOI:
https://doi.org/10.63282/3050-9262.IJAIDSML-V3I2P106Keywords:
Data Analytics, Reporting, Google Cloud Platform (GCP), Microsoft Power BI, Cloud-Based BI, Data Visualization, Business Intelligence (BI), Data Integration, ETL (Extract, Transform, Load), Data Warehousing, Big Data Processing, Real-Time Analytics, Machine Learning for BI, Predictive Analytics, Self-Service BI, Data Governance, Data Quality Management, Dashboard Development, KPI Monitoring, Cloud Data Storage, SQL Analytics, NoSQL Databases, API Data Integration, Automated Reporting, Business Performance Metrics, Data-Driven Decision MakingAbstract
Modern data-driven companies rely on advanced analytics and reporting tools if they are to get relevant insights from enormous volumes. Cloud-based technologies have completely transformed this scene with their scalable, fast, real-time analytics powers. Since they allow businesses to appropriately arrange, evaluate, and present data, two of the most useful technologies on this market are Google Cloud Platform (GCP) and Microsoft Power BI. Mass data analysis made possible by big questions, data flow, and artificial intelligence/machine learning technologies allows GCP to provide the appropriate environment for data storage, processing, and machine learning as services. On the other hand, Microsoft Power BI is a leading business intelligence (BI) tool helping businesses with less technological experience create dynamic dashboards, run thorough analytics, and create intelligent reports. GCP manages data entry, transformation, and processing; Power BI provides instantly visually beautiful reporting for taken-together decision-makers and forms a flawless analytics and reporting flow when used. This paper explores GCP and Power BI interactions in an end-to- end analytics workflow from data collecting and transformation to visualization and reporting. Among other things, it underlines the major benefits of combining these tools: improved data flow, scalability, real-time processing, and enhancement of decision-making. Useful case studies in fields including banking, healthcare, and transportation will highlight how they impact business intelligence. Combining the features of both systems will help companies to have amazing insights, boost output, and bravely make data judgments. This paper will address the elements, integration strategies, and best practices for maximizing the possibilities of GCP with Power BI in analytics and reporting
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