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Enterprise Decision AI Resources & Blog | DATA POEM

Guides, case studies and research on Enterprise Decision AI, causal modeling and unified growth planning from DATA POEM.

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Decision AI vs Business Intelligence: why dashboards don't drive growth

Business intelligence shows you what happened. Decision AI decides what to do next. Here is the real difference, and why dashboards alone never move growth.

ArticleGrowth

How enterprise leaders use AI for business growth

A practical guide to AI for business growth for enterprise leaders — the use cases that move the P&L, why most underdeliver, and what connects them into one decision model.

ArticleGrowth

The fourth layer: how Enterprise Decision AI completes the enterprise intelligence stack

The enterprise intelligence stack has three layers that describe the business and one missing layer that decides. Here is what the fourth layer is and where it sits.

ArticleEnterprise decision ai

From Fragmented MMM to Decision AI [Video]

Watch Data Poem founder Bharath Gaddam at the ARF on moving enterprise growth from fragmented marketing mix models to causal, on-demand Decision AI. 48 minutes.

VideoEnterprise decision ai

Large Scale Causal Foundation Models [Whitepaper]

Read the research behind POEM365. FOUNT is the world's first Large Causal Model, beating Google, Salesforce and the M5 Kaggle winner. Download the whitepaper.

White-paperCausal ai

Build vs Buy for Causal AI: The True Cost of Building In-House vs Deploying POEM365

In-house causal AI runs $11M+ over 18 months; POEM365 runs $500K–$1.5M over three years. The real build-vs-buy math, and what most teams get wrong.

ArticleCausal ai

Enterprise Planning: How Fortune 500s Are Unifying Strategy and Execution

Enterprise planning unifies strategy and execution. See how Fortune 500 leaders build one plan across finance, supply chain, and commercial.

ArticleGrowth planning

What is Causal AI? The Complete Guide for Enterprise Leaders

Causal AI explains why outcomes happen, not just what correlates. A plain-English guide to how it works, what it replaces, and where it adds value.

ArticleCausal ai

How do Enterprise CMOs Measure True Marketing ROI Across Fragmented Channels?

Most enterprise marketing ROI issues aren't a data problem, but a model architecture problem. Find out why attribution fails at scale and what replaces it.

ArticleUnified marketing

Enterprise Decision AI in Practice: How Fortune 500 Brands in CPG, Retail, and Automotive are Using It Today

What Enterprise Decision AI looks like in CPG, Retail, and Automotive — and why it differs from the AI you already have.

ArticleEnterprise decision ai

POEM365 vs MMM vs MTA: Which Measurement Approach is Right for Enterprise?

MMM measures the macro, MTA tracks the touchpoint, and both leave you with two different answers. POEM365 helps enterprises get to one causal truth.

ArticleUnified marketing

The Three-Story Building Most Companies Only Enter on the Ground Floor

Most enterprises only plan tactically. See how tactical, functional, and strategic decisions connect into one growth-planning loop inside POEM365.

ArticleGrowth planning

Three Categories. Same Unification Problem. One Category Left to Solve.

CRM unified customer data. ERP unified operations. Enterprise Decision AI is the fourth category, unifying the enterprise growth decision into one model.

ArticleEnterprise decision ai

Your Analytics Stack Reports. Enterprise Decision AI Decides.

MMM, attribution and forecasting all report what happened. None tell you what to do next. How Enterprise Decision AI prescribes where the next dollar goes.

ArticleEnterprise decision ai

Your Channel ROI Has Three Layers. Your MMM Only Reports One.

Traditional MMM reports only direct channel impact. See the three layers of channel ROI, direct, synergistic and long-term equity, that your budget misses.

ArticleUnified marketing

Pick the Right AI for the Job: LLM vs. LCM

A Large Causal Model decides; an LLM describes. Here is how they differ, where they fit, and why your AI shortlist probably only has half the picture.

ArticleCausal ai

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