Small and medium enterprises (SMEs) also face major problems in their operation efficiency as vital data is scattered over a number of data applications, some of them chief of functional use, such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM). Traditional business intelligence (BI) systems are either prohibitively costly (via a subscription-based feature) or technologically complicated, fostering a reliance on old data, and reducing the ability to efficiently process data and respond sufficiently to data-driven decisions in response to market shifts. In order to enable advanced analytics, this study proposes a combination of dashboard system that can be implemented to optimize business process. The framework is based on a component-based design (CBD) architecture that uses React, Refine, GraphQL and TypeScript, thus facilitates modularity and scalability, which is essential in integrating real-time data to a unified platform using heterogeneous data streams. Through stringent design standards, the platform provides Key Performance Indicators (KPIs) in the form of intuitive visualization, which is low-cognitive load and offers better user experience. The subsequent low-cost solution offers SMEs low-cost, real-time monitoring and proactive response solutions. It guarantees data consistency, cross-functional visibility (key results of successful integration of ERP-CRM) and improves operational efficiency a lot, increases the responsiveness of strategies.
K et al. (2026) studied this question.
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