Modern data leaders face growing challenges as customer expectations rise and data ecosystems become more complex. Delivering superior outcomes requires unifying fragmented data, ensuring accessibility, and enabling actionable insights across teams. Manual integration consumes engineering time and delays decision-making, while a modern data stack automates pipelines, adapts to schema drift, and centralizes information in cloud warehouses. This empowers organizations to build real-time customer views, improve personalization, and drive retention. By reducing operational inefficiencies, enabling self-service analytics, and supporting AI and machine learning, modern data infrastructure transforms raw data into business value and stronger customer experiences .

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