Empowering Decision-Making with Power BI’s Data Mining Capabilities for Non-Technical Users
Year: 2025
Type: article
Abstract: Power BI's data mining capabilities empower decision-making by giving non-technical people access to strong analytical tools. The goal is to provide an easy-to-use interface for data exploration and analysis to guide strategic decisions. Organizations may democratize data access and enable data-driven decision-making across departments by using Power BI's sophisticated data visualization and user-friendly capabilities. To boost productivity and cooperation, non-technical users are taught data interpretation skills and tools. By encouraging data literacy, organizations may guarantee that all team members participate in analysis, improving business results. In a competitive environment, this strategy encourages informed decision-making, creativity, and adaptability. This research used Sales Performance Data and Marketing Campaign Data. In the first dataset, product categories include electronics, furniture, apparel, beauty products, groceries, and regions like north, south, east, west, and central. Total sales (in $) are 40,000 to 1,50,000, total units sold are 1000 to 4000, and average sales price is 30 to 60. Customer satisfaction is 4.2 to 4.8. In the second dataset, the campaign type is Electronics, Furniture, Apparel, Beauty Products, Groceries, reach is 60 to 150, engagement rate is 20 to 35, conversion rate is 5 to 12, total revenue is 30,000 to 1,000,000, and cost per acquisition is 10 to 20.
Authors: Kabaleeswaran Sabapathi, G Suresh
Institution: Capgemini (United States)
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4413956804