How does BIGDBM ensure data privacy compliance?

BIGDBM operates a privacy-by-design data pipeline that includes real-time opt-out suppression, CCPA audit trails, consent signal processing, and integration with major consent management platforms.

Does BIGDBM support CCPA opt-out requests?

Yes. BIGDBM maintains a live opt-out registry and processes suppression requests in real time, ensuring your campaigns and data operations automatically exclude opted-out consumers.

What privacy regulations does BIGDBM support?

BIGDBM's data operations are built for US privacy law including CCPA/CPRA, with opt-out and data deletion workflows. All data is sourced, processed, and distributed within a privacy-compliant framework.

Privacy-Compliant Data Operations: CCPA, Consent & Opt-Out

Product questions, answered

How can I review SOC 2 and TrustArc reports?

Reports can be provided on demand. Contact BIGDBM to request the reports and confirm the reporting period and service scope.

How should buyers evaluate privacy controls?

Review the documented sourcing, permitted-use restrictions, opt-out handling and retention controls for the specific service. Ask how suppression changes reach recurring deliveries and what responsibilities remain with the buyer.

Coverage definitions and performance context · API reference · RFIS reference · Discuss scope and pricing

Key Features

Consent & Preference Controls

Bind consent states to identity so audiences and enrichment respect user choices across every workflow.

Automated Opt-Out Handling

Automated opt-outs let users manage preferences easily. Built to comply with applicable federal, state, and local privacy laws.

Audit-Ready Data Lineage

Maintain provenance, purpose, and workflow history so reviews, audits, and reporting are fast and repeatable.

Policy-Based Access Controls

Limit attributes, destinations, and processing by role, purpose, region, and retention requirements.

What Makes It Different

Privacy controls are built into the workflow, not added after the fact. That means consent, opt-outs, and permitted-use rules can be enforced at the point where identity is resolved, enriched, and activated.

Governance stays consistent across batch, real-time, and partner workflows. The same rules apply everywhere, with clear lineage and logs so teams can prove compliance without slowing delivery.

How it works

Our proven process for enforcing privacy across identity workflows

01 Define

02 Ingest

03 Enforce

04 Prove

Set rules by purpose and region

Configure permitted use, destinations, retention, and regional requirements so policies are standardized before data is used.

Attach consent and provenance

Bring in consent states, opt-outs, and source tags alongside identifiers so controls travel with the identity.

Apply controls automatically

Execute suppression, minimization, and access rules across segments, enrichment, and publishing, without manual steps.

Produce audit-ready evidence

Generate logs and lineage showing what was processed, why it was allowed, and where it was sent, on demand.

Use Cases

1. Data Subject Access Request-ready identity workflows

Best for: Privacy / Legal teams Outcome: Respond faster with repeatable processes tied to identity and audit trails.

2. Do-not-sell/share enforcement

Best for: Privacy / Data teams Outcome: Apply opt-outs consistently across activation and sharing workflows.

3. Consent-aware audience activation

Best for: Marketing Ops teams Outcome: Ensure segments respect consent and permitted use before publishing.

4. Partner governance for collaboration

Best for: Partnerships / Data teams Outcome: Share and measure with controls that reduce risk and improve consistency.

5. Data minimization by design

Best for: Governance teams Outcome: Limit attributes to what is required for the workflow and reduce exposure.

6. Compliance reporting readiness

Best for: Security / Compliance teams Outcome: Produce repeatable evidence for audits, vendor reviews, and internal governance.

Results and Impact

Deliver measurable business outcomes with trusted identity data

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Manual Effort Reduction

Automate policy enforcement and opt-out propagation to reduce recurring operational work and ad-hoc fixes.

Compliance Risk Reduction

Decrease uncontrolled exports and "shadow" segments by standardizing access, destinations, and permitted use.

Faster Audit Response

Accelerate reviews with consistent lineage, logs, and workflow history tied to identity and processing purpose.

Policy Rollout Speed

Deploy new rules across teams and workflows faster by centralizing controls instead of rebuilding logic per system.

Privacy-Compliant Data Operations