Practical guidance, assessments, and templates to embed privacy, consent, anonymization, and ethical controls into analytics and models.
Interactive assessment to evaluate privacy, compliance, and ethical risks for a dataset or analytics project and capture recommended mitigations and owners.
Structured, savable privacy & ethics impact assessment for projects that use personal data or produce automated decisions. Collects inventory, lawful basis, risk scoring, mitigations, acceptance criteria, and approvals so teams can document decisions, track reviews, and preserve audit trails.
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.
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.
Interactive checklist and evaluation form to determine whether synthetic or other privacy-preserving approaches are appropriate, document selected privacy metrics, capture empirical utility tests, and record governance, release controls, and known limitations.
A practical primer that explains types of synthetic data and common privacy-preserving approaches, compares their trade-offs, and provides a decision checklist and an assessment template teams can use to evaluate privacy risk and analytical utility before sharing or using synthetic datasets.