Your organization, analyzed.
Your next actions, prioritized.
Diakon analyzes your organization's data governance and prioritizes what to do next — an objective, auditable and reproducible assessment.
How it works
Submit your document
Policy documents, manuals, meeting minutes — any material that reflects how your organization thinks about and practices data governance.
- PDF, DOCX, TXT — up to 20 MB
- Multiple documents per assessment
- No complex setup
Diakon analyzes
It examines each passage against the standard of the discipline — no bias, no opinion, none of the friction of traditional consulting.
- Every area of data management assessed
- Same criteria across the whole organization
- Auditable and reproducible
You get recommendations
What matters is knowing what to do tomorrow. Each recommendation comes with a priority and its corresponding area.
- Recommendations prioritized by impact
- Directly linked to each assessed area
- PDF export to share
A clear index and prioritized actions
↓ Click an action to see the full breakdown
Your documentation describes access granted by system — whoever enters a system sees every record in it. Sensitive and operational data currently get the same protection.
- Classify data by sensitivity before any technical change
- Grant access by data type, not by whole system
- Log and periodically review who accesses what
The document acknowledges the problems — duplicate records, incomplete addresses — but doesn't define how to measure them. Without measurement, correction only happens when someone complains.
- Start with the records that already cause known rework
- Set numeric completeness targets for critical fields
- Establish a measurement cadence that fits the team
Terms like "active customer" and "on-time delivery" are interpreted differently by different areas — and that's exactly what produces divergent management reports about the same month.
- Prioritize the terms that appear most in board reports
- Assign who validates each definition per domain
- Version definitions to track changes in criteria
Data is kept indefinitely, except for tax obligations. Without a disposal rule, liability grows silently — in storage cost and regulatory risk.
- Map the data categories that currently have no defined timeframe
- Align timeframes with the legal obligations you already meet
- Define the disposal procedure, not just the timeframe
Where the risks are — and where to start
↓ Click an area to see the full diagnosis
to see the full diagnosis
Principles that guide every assessment
↓ Click a principle to learn the idea behind it
Completeness
No one forgotten in the records. Diakon checks whether your documentation covers every area — with no invisible gaps.
The name Diakon comes from a concrete story: people who needed care but weren't in the records. The first deacons were appointed so that no one would remain invisible.
- Every area of data management enters the analysis
- What is absent is flagged as clearly as what exists
- Invisible gaps are the ones that cost the most later
Reliability
Worthy of a decision. The assessment follows a consistent, auditable standard — not a consultant's guesswork.
A diagnosis is only useful if you can take it to the board and defend it. Every conclusion is anchored in a passage of your own document — nothing comes from nowhere.
- The same document assessed twice yields the same result
- Identical criteria across the organization, no exceptions
- You can verify the origin of every finding
Fairness
The people behind the data deserve care. The assessment is impartial and reproducible — not an arbitrary "pass."
Behind every record there is a person — a customer, a patient, an employee. Data governance is, above all, care for those who depend on these records.
- No arbitrary "pass" and no bias toward whoever hired it
- The result doesn't change depending on who requested the assessment