FreeE-Book

Reframing Analytics for the Agentic Era

Your AI investments are only as good as the data foundation beneath them. Learn the four-step architecture that operations and analytics leaders use to get trusted, instant answers across every source.

Reframing Analytics for the Agentic Era Cover

What's Inside

  • Why AI analytics fails even when investment is high
  • How to federate queries across 30+ sources without ETL
  • Building a semantic layer that governs every agent query
  • A practical roadmap for getting ahead of the agentic shift

"Now business units can do their own analysis in a much faster way and we, as a central team, are no longer the bottleneck."

Matthias Mueller, Senior Architect, DATEV

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E-BOOK OVERVIEW

What You'll Learn

A practical guide to building the data architecture that turns AI investment into trusted, instant answers for every operations and analytics team.

The architecture problem AI exposed
The architecture problem AI exposed

Most organizations have invested in AI tools but built them on top of fragmented data infrastructure. This e-book explains why architecture, not budget, is the real bottleneck preventing trusted AI analytics.

Four steps to trusted AI analytics
Four steps to trusted AI analytics

From federating queries across 30+ sources, to building a governed AI Semantic Layer, to enabling autonomous management, get the step-by-step architecture blueprint for the agentic era.

How real businesses use AI-ready data architecture
How real businesses use AI-ready data architecture

E.ON Nordic cut time-to-insight by 95%. KION Group reduced query time from 30 minutes to 3 seconds. Vanguard compressed analysis from weeks to hours. See how they did it.

Build the foundation for agentic analytics

Dremio is the Agentic Lakehouse, the only Iceberg-native data platform built for agents and managed by agents. Start building your data foundation today.

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