The Hidden Cost of Data Silos and How to Tackle Them

Exploring the significant, often hidden costs of data silos, this article questions the default assumption of integration, advocating for a strategic, evidence-based approach to tackling these organizational challenges.

The Problem: An Expensive Iceberg 🔗

84%

Integration Project Failure Rate

The stark reality: a vast majority of data integration projects fail to deliver, despite promises of high ROI.

$12.9M

Annual Cost of Bad Data

Gartner estimates this as the average annual financial drain on companies due to poor quality, often siloed, data.

30%

Wasted Professional Time

IDC research suggests data professionals waste nearly a third of their week managing quality issues from silos.

Data silos are more than technical debt; they are symptoms of organizational culture and historical decisions that create invisible friction. When Marketing can't access Sales data, or Operations uses different numbers than Finance, competitive advantage is silently undermined. This guide provides a strategic framework for assessing the problem and implementing effective, evidence-based solutions.

Core Analysis 🔗

Key Concepts & Terminology 🔗

Implementation Guides & Roadmaps 🔗

Cited Research & Reports 🔗

Frequently Asked Questions 🔗

Attribution 🔗

This analysis is based on the article "The Hidden Cost of Data Silos and How (and If) You Should Tackle Them" by , published on LinkedIn.