Microsoft Copilot is here – and expectations are enormous. But many companies experience a sobering reality: Copilot doesn't deliver the hoped-for results. The reason is almost always the same: Data quality in SharePoint isn't up to par.

The Uncomfortable Truth

Real-world experience shows: Copilot success depends largely on the quality of your data – technology alone is only a small part of the equation. But in practice, companies invest the bulk of their budget in licenses and rollout, and only a fraction in the data foundation.

The result? Disappointed users, skeptical management, and an AI project labeled as an "expensive toy."

The 7 Most Common Data Problems in SharePoint

1. Outdated Documents ("Document Graveyard")

SharePoint environments accumulate documents over the years that nobody needs anymore. When Copilot is asked about the current travel expense policy, it might find the 2019 version – and present it as current.

Solution: Introduce retention policies and regular content reviews.

2. Missing or Inconsistent Metadata

Without metadata, SharePoint is like a library without a catalog. Copilot cannot categorize and prioritize content.

Solution: Set up Managed Metadata Service with a unified taxonomy.

3. Duplicate and Contradictory Content

The same document exists in three different versions in five different places. Which version is correct? Copilot doesn't know.

Solution: Establish a single source of truth, identify and consolidate duplicates.

4. Incorrect Permissions

Over the years, permissions become increasingly generous. Copilot has access to data not intended for everyone – and could output sensitive information in the wrong context.

Solution: Conduct access reviews, consistently implement least-privilege principle.

5. Missing Descriptions and Context

Documents with cryptic filenames like "Final_v3_revised_NEW (2).docx" help neither humans nor AI.

Solution: Introduce naming conventions, maintain document descriptions.

6. No Clear Information Architecture

When SharePoint sites have grown wildly, without logic and structure, Copilot can't establish meaningful connections either.

Solution: Build a hub site architecture with clear hierarchy.

7. Inactive Sites and Orphaned Content

Old project sites that nobody maintains anymore but still contain content. They dilute search results and confuse AI.

Solution: Site lifecycle policies with automatic archiving.

The CNEXT SharePoint Health Check

We've developed a structured approach to assess the AI readiness of your SharePoint environment:

Phase 1: Analysis (1-2 Weeks)

• Automated scan of the entire SharePoint environment
• Identification of duplicates, outdated content, permission issues
• Metadata quality assessment
• Usage analysis: What content is actually needed?

Phase 2: Prioritization (1 Week)

• Evaluation of results by impact and effort
• Quick-win identification
• Roadmap creation

Phase 3: Implementation (4-8 Weeks)

• Cleanup of critical areas
• Set up metadata taxonomy
• Implement governance rules
• Activate automated policies

Phase 4: Sustainability (Ongoing)

• Content owner training
• Monitoring dashboard
• Regular reviews

The ROI of Data Quality

Investing in SharePoint data quality pays off multiple times:

Conclusion: Data First, AI Second

Before you buy more Copilot licenses, invest in your data quality. A clean SharePoint is the best investment in your AI future.

CNEXT is your Microsoft Partner for SharePoint governance and AI readiness. Contact us for a free initial check: info@cnext.ch