Centralizing data to accelerate enterprise analytics and AI

Research

Centralizing data to accelerate enterprise

analytics and AI

Many enterprises wrestle with fragmented systems, slow ETL processes, and unreliable data. The result? Missed opportunities, decision-making based on outdated data, and sluggish AI adoption — serious setbacks in a world where AI is the ultimate competitive advantage.

This guide reveals how industry leaders like Pfizer, HubSpot, and Saks unlocked the full potential of their data to power real-time analytics and AI-driven innovation.

Key insights:

Learn how to streamline data movement and eliminate manual bottlenecks to accelerate analytics and AI adoption.
Explore how a modern data foundation is key to reducing reporting time by up to 99% — and how you can implement it.
Gain inspiration from how leading enterprises are future-proofing their data strategy to support AI, automation, and real-time decision-making.

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