From fragmented docs to single source of thruth

‍Why Fragmentation Kills Momentum

‍Every data silo invites questions: “Which number is right?” “Has that slide been updated?” Minutes spent chasing versions add up to deal days lost—and buyers apply discounts for uncertainty.

A focused, one-week effort can centralize your DD artifacts, dashboards, and documentation into a single repository. Here’s how Yuki runs it:

1. Inventory & Prioritize (Day 1)
   • List every data source: BI dashboards, shared drives, ticketing systems.
   • Tag by deal impact: “High” for revenue, “Medium” for docs, “Low” for legacy artifacts.
2. Centralize Artifacts (Days 2–3)
   • Choose a CMS or code repo (we often use Git + a docs-as-code approach).
   • Migrate high-impact docs first: data-model diagrams, KPI dashboards, architecture overviews.
3. Automate Updates (Day 4)
   • Hook your analytics platform to auto-refresh dashboards.
   • Use CI pipelines to validate and publish docs on every change.
4. Validate & Annotate (Day 5)
   • Run a “buyers’ walkthrough” to spot gaps or stale data.
   • Add context notes—e.g., “Revenue excludes one-off professional services.”

Tools & Tactics

• Docs-as-Code: Store Markdown or AsciiDoc in Git; leverage static-site generators for live docs.
• Data APIs: Expose a REST endpoint for key metrics so dashboards can query in real time.
• Versioned Reports: Tag buyer decks by date and commit SHA—buyers see exactly which data snapshot they’re reviewing.
• Unified Search: Implement a lightweight ElasticSearch layer to let users find any artifact in seconds.

Business Impact

‍In one sprint, we consolidated 30 disparate artifacts into a single portal. Buyers spent 75% less time hunting for updates; the seller shaved 10 days off the overall timeline, and valuation held firm because no “gotchas” emerged post-close.

Treat your DD repository like a newsroom: one CMS, one data API, one truth. This focus frees you to spend cycles on analysis, not version control.

Explore Yuki’s approach. 

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