NEXT-GEN ENTERPRISE BI: A STRATEGIC GUIDE TO AI-INFUSED REPORTING SOLUTIONS

Abstract

Implementing an effective Enterprise Business Intelligence (BI) reporting solution requires a structured approach from requirements gathering to deployment. This article outlines the best practices for starting the implementation journey, identifying key pain points, and developing a methodical plan that supports all major BI reporting platforms, including Tableau, Power BI, Qlik Sense, Looker, MicroStrategy, SAP BusinessObjects, IBM Cognos Analytics, and Domo. The proposed methodology covers requirement gathering, analysis, solution design, implementation, unit testing, code review, evaluation, obtaining sign-offs, and deployment planning. By integrating Artificial Intelligence (AI) using tools like Azure Machine Learning, AWS SageMaker, Google Cloud AI Platform, DataRobot, and H2O.ai throughout the process, automation, data-driven insights, and enhanced performance are achieved through real-time streaming architectures using Apache Kafka, Amazon Kinesis, and Apache Flink, event-driven processing, and continuous intelligence frameworks. This comprehensive checklist-driven approach ensures successful project delivery and optimal business outcomes.