What percentage of the information our team uses to make decisions is in spreadsheets and databases versus emails, documents, and meeting notes?

Most organizations find that 80 percent or more of their decision-relevant information is unstructured. If your analytics only touch the structured portion, you are making decisions with a fraction of your available intelligence.

What is the most valuable piece of institutional knowledge that currently lives only in someone's email or meeting notes?

Knowledge that lives only in email and meeting notes is the knowledge most at risk of walking out the door. Identifying it is the first step toward either structuring it or making it searchable.

If a key employee left tomorrow, what unstructured knowledge would we lose?

The departure risk test reveals your most critical unstructured knowledge gaps. If one person's exit would leave the team unable to answer basic questions about client history or process rationale, that knowledge needs to be captured now.

Data & Analytics Intelligence

Structured vs unstructured data

By Mark Ziler · Last updated 2026-04-05

Structured data lives in rows and columns — your revenue numbers, service dates, technician hours. Unstructured data is everything else: emails, meeting transcripts, contracts, PDFs, photos of job sites, Slack conversations. Over 80% of your business information is unstructured, and until recently it was invisible to analytics. AI changes that — it can read, classify, and extract value from unstructured content at scale. The businesses that organize both structured and unstructured data will have dramatically smarter AI than those working with tables alone.

Go deeper

Your behavioral health network has beautiful structured data — census reports, billing records, appointment schedules, all in rows and columns. But the clinical gold is in the unstructured data: progress notes describing patient breakthroughs, therapist observations about treatment effectiveness, intake narratives revealing social determinants of health. That unstructured content has been invisible to your analytics. AI can now read 10,000 progress notes and tell you which treatment approaches correlate with the best outcomes for specific patient profiles — insight that was always in your data but impossible to extract manually.

The trap most companies fall into is running AI analytics exclusively on structured data because it's easy and ignoring the unstructured data where the real differentiation lives. Your competitors have the same structured billing data you do. They don't have your clinical narratives, your customer communications, your institutional knowledge captured in documents. The unstructured data is your competitive moat — but only if you make it usable.

Questions to ask

What percentage of our organizational knowledge lives in unstructured formats (documents, emails, notes) versus structured databases?
Which business questions can we not answer today because the relevant data is locked in unstructured text?
Do we have a plan to make our unstructured data AI-readable, or are we only investing in structured data analytics?