The choice between data integration and data virtualization depends on the organization's specific needs, including data volume, complexity, and integration frequency. Data integration is well-suited for long-term performance management and strategic planning, but may not be suitable for operational decision support applications that require intraday data updates. Data virtualization offers more flexibility and real-time access, making it a better option for applications requiring frequent updates and agile data management. Both methods can be used together to streamline data management processes and provide comprehensive insights to drive business initiatives forward. CData solutions support both approaches, offering flexibility based on specific requirements.