Data Governance Department System
Teams managing the company’s data quality, policies, classification, and compliance with the personal data protection law.
Data governance as daily practice: approved policies, measured quality, documented classification, and proven privacy compliance.
No credit card required — your project is set up with the full system in under a minute
This is the system board as you'll receive it: workflow columns and starter cards showing the first steps
How does work flow in this system?
Every data policy — sharing, retention, quality, access — enters as a card in “Policy”, where it is drafted and approved before anything else happens. Data quality issues enter as cards in “Quality”: duplicate customer records, missing fields in a system, conflicting data between two systems — each issue with its source, impact, and remediation owner. Data assets pass through “Classification”, where each asset’s sensitivity level is set: public, internal, confidential, or highly confidential — linked to its access controls. Personal data protection requirements are managed in “Compliance”: processing records, individuals’ consents, data subject requests, impact assessments. The overall state is periodically summarized in “Report”, and long-term remediations stay in “Monitoring”.
The Forum is the documented governance council: unified data definitions are debated there until Finance and Sales agree on one meaning of “active customer”; ownership disputes between systems are settled with documented decisions; and interpretations of privacy requirements are adopted as reference. Announcements carry every new policy or material update to the company — the data-sharing policy is not something employees hear about by chance.
Dues tracks governance money: fees for consulting and external compliance audits, privacy fines if they ever occur, and the cost of data quality tools — all linked to their cards, so the true cost of governance is visible to management.
The governance officer owns the board and reviews “Compliance” weekly, because data subject requests carry statutory deadlines that brook no delay; data owners in the departments fix “Quality” issues in their scope and certify the “Classification” of their assets. The golden rule: no new data is collected or shared externally without passing through this system — policy, classification, and compliance.
Who does what?
The operational roles in this system and each role's responsibility in daily work — assign them to your team as-is or adapt them to your reality.
Data Governance Officer
Owns the board: leads the drafting and approval of “Policy”, reviews “Compliance” weekly, and presents the periodic “Report” to management.
Department Data Owners
Fix “Quality” issues within their data scope and certify the “Classification” of their assets and their access controls.
Personal Data Protection Officer
Runs “Compliance” cards: processing records, data subject requests, and impact assessments on their statutory deadlines.
Data Quality Coordinator
Measures quality indicators periodically and raises issues as cards in “Quality” with source and impact.
What's prepared for you from day one?
System units
- Tasks — A kanban board with workflow columns and execution cards
- Forum — Documented discussions in organized sections — decisions and knowledge that never get lost
- Announcements — The official voice of management — circulars and alerts that reach everyone
- Dues — Internal money with strict privacy — dues, advances, and expenses
Forum sections (4)
- Unified Definitions & StandardsDocumenting data definitions agreed between departments — active customer, current employee, live product — so reports match.
- Data Quality IssuesDiscussing recurring issues, their root causes, and remediation plans from the source, not manual patching.
- Data Protection InterpretationsApproved positions on interpreting personal data protection requirements and applying them to our systems.
- Data Ownership DecisionsSettling ownership disputes between systems and departments with documented decisions — who owns editing and who owns viewing.
«Working Rules for This System» — Pinned in the forum
1) No data policy is in force unless approved here and officially announced — prevailing custom is not policy. 2) Every data asset has a declared owner and a documented classification level — an ownerless asset is treated as an issue in “Quality”. 3) Personal data subject requests are logged as cards in “Compliance” the day they arrive, as they carry statutory deadlines. 4) Unified data definitions are approved in the Forum, and no department may adopt a definition that conflicts with the approved one. 5) Sharing any data with an external party requires a card passing through classification and compliance before handover.
Welcome announcement: «Welcome to the Data Governance System»
From today, company data is managed under published policies: every policy is approved here and announced from this channel, every data quality issue has a card and an owner, and no new data is collected or shared externally without passing through this system for classification and compliance. First step: read the “Working Rules” topic in the Forum, and classify your departments’ most important data assets as cards in the “Classification” column.
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