Independent Project · Data Consultancy
Organized Data Governance
Organized Data Governance is Kyle Wisniewski's independent data consultancy. It helps mid-sized professional-service firms and university-affiliated departments establish the rules that turn separate records into answers they can repeat, explain, and use.
active · 2026 — Present
Method chain
A verified sequence, not a decorative process diagram.
- Start with one recurring question; identify the records it depends on and reconcile identities, definitions, periods, and source authority.
- Turn the agreed rules into role-based views that preserve scope, source, and reporting period.
- Automate recurring work with validation, permissions, review steps, exception handling, and traceable changes.
- Monitor the process, resolve exceptions, and keep access rules and documentation aligned as the organization changes.
The Problem It Works On
Organizations have systems for recording work, but often no governed method for deciding what those records mean together. When a recurring question crosses systems, identities, definitions, reporting periods, source authority, permissions, and correction rules must be reconciled. If those rules live in spreadsheets, meetings, and institutional memory, the answer must be rebuilt by hand and may change with the person producing it. AI increases the urgency: it can select and circulate an answer, but it cannot give that answer authority inside the organization.
What It Offers
One service in four stages: define the recurring question and reconcile the required records; build views matched to each role; automate the governed process with validation, permissions, review steps, and traceable changes; and maintain the system as definitions and responsibilities change. Specific commitments — refresh cadence, reports, access levels, review steps, and support — are set per engagement in the proposal.
Evidence Boundary
Organized Data Governance is an early-stage practice. The staged delivery model describes how engagements are structured, not a record of completed client work; no customer, revenue, or deployment claims are implied.
