Centralizing data is crucial for successful AI initiatives and revenue impact in the new year. However, overcoming data integration challenges requires centralizing data from various sources such as SaaS applications, databases, ERP systems, and more. This can be achieved by leveraging a data integration platform that automates data movement, provides real-time access, reduces downtime, and ensures data integrity. Such platforms should have features like an ELT architecture, robust security, reliability in real-time, full support and customizability, and ease of use to centralize data and fuel key AI initiatives. By doing so, enterprises can reduce their data-to-decision time, provide a comprehensive view of customers for predictive insights, and drive meaningful business impact through AI-driven customer 360 models.