This white paper introduces the concept of the “analytics superhighway,” a modern data architecture designed to remove bottlenecks caused by traditional data pipelines. It explains how legacy ETL, data warehouses, and data marts slow access to insights and limit agility. The paper contrasts these approaches with a high-speed analytics layer that delivers direct access to detailed source data at scale. Key themes include eliminating data duplication, preserving data fidelity, and enabling faster decision-making across the organization. The superhighway model supports self-service analytics, real-time reporting, and advanced use cases such as AI and machine learning without sacrificing governance or performance.

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