Policies, roles, stewardship, and practical templates to make analytics trustworthy, compliant, and usable at scale.
A practical, adaptable template that defines core governance roles, maps responsibilities and decision rights with a sample RACI matrix, includes a concise sample access policy, a stewardship cadence checklist, and step-by-step onboarding for new data domains. Ready for teams to copy and tailor to their environment.
Action-oriented playbook to stand up just‑enough stewardship, access controls, and a lightweight governance cadence for small-to-medium teams. Includes roles + RACI, concise policy templates, a prioritized quick‑wins roadmap, dataset and glossary templates, and a monthly meeting agenda with expected outputs.
An actionable, fillable DPIA template to assess projects for privacy risk, capture mitigation plans, and record approvals. Includes a worked example for a user analytics pipeline and fields to score likelihood, impact, and residual risk.
Copy-ready, customizable role descriptions and a short RACI template for data steward, data owner, analytics product manager, and privacy owner — plus guidance for adoption, light governance patterns, and examples for small and large organizations.
A practical, copy-ready RACI matrix and short policy templates for stewardship, access, retention, model approval, and data contracts — plus an implementation checklist, enforcement steps, and a communication plan for role changes.
A one-page, ready-to-use template that combines a RACI matrix for dataset/metric ownership with a practical steward checklist, examples, and guidance for adoption. Helps teams clarify responsibilities, enforce lightweight quality checks, and keep datasets trustworthy and usable.
Interactive assessment to evaluate privacy, compliance, and ethical risks for a dataset or analytics project and capture recommended mitigations and owners.
A practical, adaptable policy template that defines model risk tiers, required documentation, reproducible validation checkpoints, approval workflows, monitoring expectations by risk tier, retraining and retirement rules, incident thresholds, and a sample sign-off form to govern models through their full lifecycle.
A practical, adoptable policy template that defines roles, risk tiers, validation gates, documentation standards, monitoring requirements, escalation paths, and audit evidence for model approval, deployment, monitoring, and retirement. Includes a model factsheet template and clear acceptance criteria by risk tier.
Interactive assessment to evaluate projects and datasets for privacy risk, ethical considerations, bias, and regulatory compliance needs. Collects project metadata, guided checklist answers, risk ratings, mitigation actions, and sign-off to support repeatable, auditable reviews.