
The rapid growth of digital technologies has transformed economic decision-making,demanding more advanced data integration for accurate analysis and strategic planning.This study explores the development and implementation of an Integrated Data forEconomic Analysis Management System (IDEAMS) to enhance data-driven decision-making in economic analysis, particularly within Guimaras province's tourism sector. Byintegrating real-time and historical data, IDEAMS aims to serve stakeholders, includingthe provincial government, the Local Government Unit (LGU), and tourism businessesin Guimaras. This system features a centralised platform for efficient data processing,predictive analytics, and informed decision-making. The research employs a mixed-methods approach, combining qualitative assessments of economic data needs withquantitative evaluations of system functionality — including suitability, performance,efficiency, compatibility, usability, reliability, security, portability, and maintainability.Respondents rated the study highly, with a mean score of 4.4, indicating that the projectmeets standards for functionality, usability, efficiency, portability, and maintainability.The findings underscore IDEAMS's potential to enhance economic forecasting, optimiseresource allocation, and support evidence-based policymaking. It is expected to improveeconomic monitoring, forecasting, and policy support by integrating multiple economicdata sources into real-time market indicators, creating a unified, standardised platform
Data-driven decision-making in the tourism industry, Data integration for accurate analysis and strategic planning
Data-driven decision-making in the tourism industry, Data integration for accurate analysis and strategic planning
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