Empowering the Business Innovation with AI Driven Business Intelligence Trends and Future Prospects
In today's data-driven economy, organizations compete to leverage real-time insights to remain competitive, responsive, and productive. One of the best means to do this is by automating operational reports and Key Performance Indicator (KPI) notifications. This research paper discusses how Microsoft Power BI—a widely used Business Intelligence (BI) solution—allows companies to automate data reporting activities and proactively manage performance metrics. The document is centred on the capabilities of Power BI, including scheduled data refresh, realtime dashboards, and seamless integration with Power Automate to create alerts from data thresholds and performance anomalies. Automating report operations using Power BI has many benefits: It reduces the time-consuming effort of data compilation, provides accuracy through uniform data models, and drastically enhances report delivery speed. KPI alerts also enable decision-makers to respond quickly when key business metrics deviate. The research compares several real-world deployments to quantify the effect of automation on business productivity. This research gives real numbers that show how things got better—like how reporting became faster, decisions were made quicker, and more employees actually started using the reports. It also goes into how Power BI works under the hood and explains some of its automation features in simple terms. Along the way, it talks about the usual issues companies deal with—like connecting data from different places, making sure users are trained properly, and keeping everything governed and organized. To fix those problems, the paper gives some practical suggestions that can help. With support from case studies and research from IEEE sources, the overall message is clear: using Power BI isn’t just a tech upgrade—it actually changes how companies work and handle their operations on a day-to-day level.
Authors
- Divya Kodi (ORCID: https://orcid.org/0000-0002-5125-3003)
Institutions
- CollegeAmerica (US)
- CAO Group (United States) (US)
Publication Details
- Journal
- International Journal of Inventions in Engineering & Science Technology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.37648/ijiest.v11i01.004
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00