Decision Governance
Decision governance, applied to banks and credit unions, is the practice of capturing consequential decisions as they are made — who owned each one, on what basis, with what authority, and how it turned out — so the record exists when someone asks, rather than being reconstructed later.
It applies to the decisions that carry consequence — a credit exception, a SAR filing, a model override, a board-level call — the ones an auditor, examiner, or regulator may later ask you to justify. The discipline is producing that justification as a byproduct of the work, not as a reconstruction weeks after.
How it differs from data governance
Data governance is about the data — its quality, lineage, access, and definitions. Decision governance is about the choices made from that data. You can have clean, well-governed data and still have no record of who decided what, on what basis, or whether it worked. One governs the inputs; the other governs the calls.
How it differs from GRC
Governance, risk, and compliance (GRC) tracks controls, policies, and findings — whether a control exists and who owns it. Decision governance captures the decision the control was meant to produce: who decided, on what basis, with what authority, and how it turned out. GRC tells you the framework is in place; decision governance shows it was actually followed, one decision at a time.
How it differs from decision intelligence
Decision intelligence helps you make a better decision — models, analytics, and recommendations at the point of choice. Decision governance is about accountability after the choice: an owned, reconstructable record of what was decided and why. One improves the decision; the other proves it. A recommendation engine with no record still can’t answer “who approved this, and on what authority?”
The five-stage decision anatomy
Every governed decision resolves into the same five stages — one record, captured in the flow of the work.
- Signal — What prompted the decision.
- Owner — Who is accountable, named.
- Decision — The call, and the reasoning behind it.
- Action — What was done, with evidence.
- Outcome — The result, tracked back to the decision.
The six facets of maturity
Maturity in decision governance is measured across six facets — the questions a risk officer, or an examiner opening a file, asks of any decision. Together they form the Decision Governance Maturity Model (DGMM), an open framework adapted from CMMI.
- Ownership — Does every consequential decision have a named owner?
- Timeliness — Do decisions close inside the cycle the work demands?
- Reconstructability — Is rationale and evidence captured as the decision is made?
- Override Discipline — Are overrides owned, justified, and pattern-visible?
- Authority — Do decisions sit at the level policy says they should?
- Apex Linkage — Do board decisions trace to the operational evidence beneath them?
Frequently asked
What is decision governance?
The practice of capturing consequential decisions — owner, basis, authority, and outcome — at the moment they’re made, so the record exists when an auditor, examiner, or board later asks, instead of being reconstructed.
How is it different from data governance?
Data governance governs the data — quality, lineage, access. Decision governance governs the choices made from it: who decided, why, and how it turned out. Well-governed data still won’t tell you who approved the exception.
Is it the same as GRC?
No. GRC tracks whether controls and policies exist; decision governance captures the decisions those controls were meant to produce — evidence the framework was actually followed, decision by decision.
Who is accountable for a governed decision?
Every consequential decision has a single named owner on the record, at the authority level policy requires — one of the six DGMM facets.
How is maturity measured?
Across six facets — Ownership, Timeliness, Reconstructability, Override Discipline, Authority, and Apex Linkage — on a five-level scale. The open framework is the DGMM; the published benchmark is the Decision Governance Index (DGI).
Why does it matter for banks and credit unions?
Regulated institutions are routinely asked to justify past decisions — a credit exception, a SAR, a model override. Decision governance produces that justification as a byproduct of the work, turning exam prep from a reconstruction sprint into an export.
DataVisuals builds a decision governance platform for banks and credit unions — see how it works.