---
id: "prereq-meticulous-data-management"
type: "prereq"
source_timestamps: ["§ 4. Data management"]
tags: ["data-infrastructure", "cloud-computing"]
related: ["entity-titan-cement", "concept-unstructured-data-utilization", "framework-four-pillars-of-ai-success"]
reason: "AI algorithms require accurate, pertinent, and well-organized data to function; poorly managed data renders AI useless."
source_url: "https://hbr.org/2025/01/what-companies-succeeding-with-ai-do-differently"
source_title: "What Companies Succeeding with AI Do Differently"
sources: ["execution"]
sourceVaultSlug: "hbr-seg-execution"
originDay: 8
articleStem: "hbr-cl-89-companies-succeeding-with-ai"
sourceUrl: "https://hbr.org/2025/01/what-companies-succeeding-with-ai-do-differently"
sourceTitle: "What Companies Succeeding with AI Do Differently"
---
# Meticulous Data Management

**Prerequisite:** Before AI can effectively drive efficiency and innovation, a company must invest in systems to accurately **record, organize, and secure** pertinent operational data.

**What it entails:** integrating **sensors**, using **cloud-based storage**, and establishing **centralized data-science teams** to prevent the **'garbage in, garbage out'** scenario.

**Why it's required:** AI algorithms require accurate, pertinent, well-organized data; poorly managed data renders AI useless. This prerequisite underpins pillar #4 of [[framework-four-pillars-of-ai-success]], enables [[concept-unstructured-data-utilization]], and is exemplified by [[entity-titan-cement]] (~500% ROI).