Design and Implementation of Enterprise Financial Decision Support System Based on Business Intelligence

Purpose: Business intelligence and decision support systems are now recognized as critical enterprise infrastructure. Data is increasingly being used by business enterprises to react key operational strategic operations of their customers, markets, stakeholders. Theoretical framework: has advanced the volume data generated smart technologies Internet increased exponentially. Design/Methodology/Approach: When using AI in world, privacy concerns arise when sensitive transmitted a third-party vendor who no connection company. Financial managed these service providers. Even while it may seem like drawback, artificial technology actually several advantages. Findings: The results this research show that network can improve financial management corporation. Using many applications helps bring down overall cost operations. comes services, both number IT workers needed necessary pieces hardware (servers) be reduced, resulting marginal drop capital expenditures. Research, Practical & Social implications: It simpler quicker get your hands on relevant information, which should lead greater efficiency. Originality/value: With our proposed approach, accuracy company increases 99.84% from 88.94%, implementation time reduced.