Data visualization approach for business strategy recommendation using power BI dashboard

Abstract

This research delivers an integrated Power BI dashboard to give projections, and future forecasting on sales, finance, marketing, and supply chain. The dashboard enables organizations to make data-driven choices and optimize resource allocation, and future growth opportunities by leveraging the power of data analytics and visualization. The dashboard's sales forecasting function forecast future sales performance using historical sales data, market trends, and customer behavior patterns using real-time visibility into revenue estimates, conversion rates, and sales. Moreover, the dashboard delivers precise revenue, expense, and profitability estimates by utilizing different cutting-edge algorithms. By leveraging advanced algorithms, the dashboard provides accurate forecasts for revenue, expenses, and profitability. Data from a variety of marketing channels, such as social media, online campaigns, and customer interaction metrics are gathered by the marketing forecasting module for campaigns on customer acquisition, brand awareness, and lead generation by examining previous campaign performance and market trends. The supply chain forecasting section combines demand forecasting, inventory control, and production scheduling to forecast optimize inventory levels, streamline procurement, and boost overall supply chain efficiency by analyzing historical demand trends, supply chain interruptions, and market dynamics. Users can explore data from various perspectives and dimensions using the intuitive visualizations, interactive charts, and drill-down features provided by the Power BI dashboard. It can also link with many data sources, including CRM systems, financial databases, marketing analytics platforms, and supply chain management systems, and it allows real-time data updates. Overall, this initiative offers organizations a strong and centralized way to forecast sales, financial results, marketing impact, and supply chain requirements.