Regulatory obligation register
Capture relevant articles, clauses, guidance, contractual requirements, applicability, interpretation notes, effective dates, jurisdictions, and legal-review status.
Dataconsultant translates privacy and data-regulation obligations into a traceable control model covering policies, processes, data, systems, owners, evidence, testing, gaps, and remediation. The service supports privacy, compliance, risk, legal, audit, security, data governance, and technology teams that need a practical connection between regulatory text and day-to-day operations.
Regulatory control mapping is the structured process of connecting each applicable obligation to a control objective and the specific operational activities that address it. A useful map records the source requirement, interpretation, control, policy, process, system, data scope, owner, evidence, test method, risk, gap, and remediation status.
It creates a working bridge between regulatory expectations and the organisation’s compliance operating model. It does not replace qualified legal advice, statutory audit, or certification.
The engagement can begin with one regulation, one process, or one data domain, or support enterprise-wide harmonisation across several regimes and business units.
Capture relevant articles, clauses, guidance, contractual requirements, applicability, interpretation notes, effective dates, jurisdictions, and legal-review status.
Define consistent control objectives, preventive and detective activities, ownership, frequency, systems, evidence, dependencies, and testing expectations.
Connect obligations to controls, policies, procedures, data flows, applications, vendors, accountable roles, evidence sources, and assurance activities.
Identify missing, weak, duplicated, unowned, untested, or poorly evidenced controls and prioritise practical remediation actions.
Show how each material obligation is addressed and where assumptions, exceptions, and specialist decisions remain.
Reuse harmonised controls across overlapping regulations while preserving requirement-level traceability.
Define what proves operation, where evidence is retained, who owns it, and how it should be tested.
Direct investment toward material control gaps, sensitive data, high-risk processes, and regulatory deadlines.
Different teams maintain separate spreadsheets, policies, and checklists for overlapping obligations.
Consolidate common control objectives while retaining source-level traceability and jurisdiction-specific differences.
Activities may happen informally, without retained records, ownership, frequency, or test criteria.
Specify artefacts, locations, owners, retention, sampling, test procedures, exceptions, and escalation routes.
Legal, privacy, security, data, technology, operations, and vendors may assume another team owns the requirement.
Document who interprets, approves, operates, supports, monitors, tests, reports, and accepts residual risk.
Share the regulations, business processes, systems, and assurance concerns you need to map.
The work is most valuable where organisations need defensible, maintainable traceability rather than a one-time compliance checklist.
Translate a new or amended law into control requirements, accountable actions, evidence, dependencies, and implementation priorities.
Map GDPR, DPDP, state privacy, sector, contractual, and internal requirements to a reusable enterprise control set.
Improve traceability from obligation to policy, process, system, evidence, test result, exception, and remediation.
Assess how cloud migration, SaaS platforms, data sharing, outsourcing, or AI use affects regulatory controls.
Standardise fragmented control wording, ownership, frequency, evidence, testing, and reporting across business units.
Convert privacy, risk, and audit findings into a prioritised backlog with owners, dependencies, decisions, and acceptance criteria.
Structure source requirements into actionable obligations with applicability, interpretation notes, scope, triggers, exceptions, dependencies, and specialist-review flags.
Define control objectives and activities across policy, people, process, data, technology, vendor, monitoring, and governance layers.
Specify evidence artefacts, retention, access, sampling, test procedures, pass criteria, deficiencies, compensating controls, and reporting.
Assign decision rights and operational ownership, score gaps, record risk acceptance, sequence remediation, and establish maintenance workflows.
| Deliverable | What it contains | Primary users | Decision supported |
|---|---|---|---|
| Regulatory obligation register | Source, clause, obligation, applicability, interpretation, scope, effective date, and reviewer | Legal, privacy, compliance | Which requirements apply and how they are understood |
| Control library | Control objective, activity, type, owner, frequency, system, evidence, and test method | Risk, audit, operations, technology | How obligations are operationalised |
| Requirement-to-control matrix | Many-to-many traceability across regulations, controls, policies, processes, data, systems, and vendors | Compliance, assurance, governance | Where coverage exists, overlaps, or remains incomplete |
| Evidence and testing catalogue | Required artefacts, retention, access, test steps, samples, pass criteria, and exceptions | Control owners, audit, assurance | How control operation will be demonstrated |
| Gap and risk register | Design and operating gaps, impact, likelihood, affected obligations, interim controls, and risk decisions | Executives, risk committees, programme teams | What requires action and priority |
| Remediation roadmap | Actions, owners, dependencies, milestones, acceptance criteria, reporting, and transition needs | Programme, technology, data, operations | How control improvements will be implemented |
Choose the regulations, processes, systems, data domains, and evidence depth required.
Confirm regulations, jurisdictions, entities, processes, products, data, systems, vendors, assurance needs, and legal-review responsibilities.
Output: agreed scope and source registerBreak source requirements into testable obligations, applicability rules, triggers, exceptions, assumptions, and interpretation questions.
Output: structured obligation registerReview policies, procedures, workflows, systems, data flows, vendor arrangements, ownership, evidence, audits, incidents, and existing mappings.
Output: current-state control inventoryDefine harmonised control objectives and map obligations to activities, owners, systems, evidence, testing, and related controls.
Output: control library and traceability matrixAssess control design, implementation, evidence, ownership, duplication, coverage, testing, dependencies, and residual exposure.
Output: gap, risk, and decision registerPrioritise actions, define acceptance criteria, establish maintenance governance, brief owners, and transfer working files and guidance.
Output: remediation roadmap and handover packThe service is technology-neutral. Existing governance, risk, compliance, privacy, data-catalogue, workflow, ticketing, document-management, and analytics platforms can be incorporated where suitable.
EU GDPR, India DPDP Act, state privacy laws, sector rules, regulator guidance, and internal privacy standards.
ISO/IEC 27001, NIST Cybersecurity Framework, NIST Privacy Framework, risk taxonomies, and internal control standards.
Three-lines models, internal audit methodologies, policy frameworks, control self-assessment, evidence, and issue management.
GRC platforms, privacy-management tools, data catalogues, CMDBs, workflow tools, evidence repositories, and reporting platforms.
Map controls across the tools and operating processes your teams already use.
| Model | Best suited to | Typical scope | Commercial basis | Important consideration |
|---|---|---|---|---|
| Focused mapping project | One regulation, domain, process, or product | Defined obligations, controls, gaps, and deliverables | Fixed scope or milestones | Scope changes require review |
| Enterprise harmonisation | Multiple regimes, entities, and control libraries | Taxonomy, crosswalk, governance, and remediation | Phased programme | Strong stakeholder ownership is essential |
| Advisory capacity | Internal teams need specialist mapping support | Backlog, workshops, reviews, and decision support | Time and capacity | Client retains programme control |
| Managed maintenance | Maps require ongoing regulatory and operational updates | Change review, evidence, reporting, and issue tracking | Recurring service | Legal and risk approvals remain client responsibilities |
These examples are illustrative and do not represent client results or legal conclusions.
Map response requirements to intake, identity verification, search, exemptions, approval, secure delivery, deadline monitoring, and retained case evidence.
Connect retention duties to classification, legal holds, platform rules, archive controls, deletion jobs, exceptions, vendor actions, and evidence of completion.
Map processor and outsourcing requirements to due diligence, contracts, access, sub-processors, incidents, audit rights, transfer controls, and exit procedures.
Outcomes depend on implementation, ownership, evidence quality, legal interpretation, technology constraints, and ongoing governance. Baselines should be agreed before measurement.
Percentage of in-scope obligations mapped to approved controls, owners, evidence, and test procedures.
Percentage of controls with accepted accountable and operational owners and defined review frequency.
Percentage of key controls with current, accessible, retained, and testable evidence.
Age, severity, and closure rate of regulatory control gaps and overdue remediation actions.
Reduction in duplicated controls through harmonised objectives covering several related requirements.
Time required to assess regulatory, system, process, product, vendor, or data-use changes.
Pricing is confirmed after reviewing regulations, organisational coverage, evidence depth, deliverables, and implementation needs.
Mappings connect regulatory requirements to the actual processes, systems, data, roles, vendors, and evidence used by the organisation.
Assumptions, exclusions, evidence gaps, unresolved interpretation questions, and legal-review dependencies are documented rather than hidden.
Deliverables support ownership, assurance, backlog planning, technology requirements, reporting, maintenance, and knowledge transfer.
Bring your regulations, current control library, audit findings, data flows, systems, and priority decisions.
Agree access, classification, minimisation, secure transfer, storage, retention, deletion, confidentiality, and permitted use for evidence and system information.
Use source references, version control, peer review, change logs, approval records, traceability checks, and documented interpretation assumptions.
Qualified counsel or authorised specialists should validate legal interpretations, applicability, privilege, regulator positions, and formal compliance conclusions.
Consider vendor access, sub-processors, cross-border transfers, hosting locations, contractual duties, audit rights, incident obligations, and exit requirements.
Regulatory control mapping may interact with GRC, privacy-management, data-catalogue, identity, security, workflow, ticketing, document-management, vendor-risk, audit, analytics, and evidence platforms. Dataconsultant can work with existing tools, spreadsheets, repositories, and internal teams, with tool changes recommended only where justified.
Control libraries, obligations, risks, issues, evidence, attestations, tests, approvals, and reporting workflows.
Data inventories, records of processing, lineage, classification, consent, rights requests, retention, and data-use governance.
Identity, security, service management, procurement, vendor management, HR, CRM, cloud, data platforms, and business applications.
Representative feedback illustrating the communication, structure, delivery quality, revision handling, and practical value organisations may seek from this service.
“The mapping gave our privacy team a clear line from each obligation to the policy, process, system, owner, evidence, and review step. Open interpretation points were separated from operational actions, which made legal review more focused and helped us avoid treating every requirement as a new standalone control.”
“Our previous control register had duplicate wording and inconsistent ownership. The engagement reorganised it into a practical taxonomy, linked overlapping regulations, and documented evidence expectations. Review comments were handled carefully, and the final working files were usable by compliance, risk, audit, and technology teams.”
“The strongest part of the work was the evidence model. Each key control included the artefact, owner, location, frequency, test method, and exception route. This improved our audit preparation and also exposed controls that were described in policy but not consistently operating in the underlying business process.”
“The consultants worked constructively with data governance, security, legal, and application owners. They did not force a new platform or generic template. Instead, they mapped the obligations to our existing data inventory, workflows, and governance forums, then identified where technology or ownership changes were genuinely required.”
“Vendor and cross-border requirements had been spread across procurement, security, privacy, and legal reviews. The new map connected those activities, clarified decision points, and produced a prioritised remediation backlog. Communication remained direct throughout, and revisions were incorporated without losing traceability to the original regulatory sources.”
“The roadmap was practical enough for programme delivery and clear enough for executive reporting. It distinguished quick documentation fixes from process, system, and governance changes, recorded dependencies, and defined acceptance criteria. The handover sessions also gave our control owners confidence to maintain the mapping as regulations and systems change.”
Regulatory control mapping links specific legal, regulatory, contractual, and policy obligations to the controls an organisation uses to meet them. A map normally identifies the requirement, control objective, control activity, owner, supporting system or process, evidence, testing method, gaps, and remediation status.
Scope can include obligation analysis, control taxonomy design, policy and process review, data and system mapping, owner assignment, evidence requirements, control testing criteria, gap assessment, remediation planning, traceability matrices, reporting views, and knowledge transfer. Final scope depends on jurisdictions, regulations, business processes, and assurance needs.
The service can support mapping for relevant privacy, data-protection, cybersecurity, sector, outsourcing, records, consumer, and contractual obligations. Examples may include the EU GDPR, India’s DPDP Act, state privacy laws, sector rules, and internal policy requirements, subject to appropriate legal interpretation and jurisdiction-specific review.
No. Dataconsultant can structure obligations, controls, ownership, evidence, and operational requirements, but authoritative legal interpretation should be provided or validated by qualified legal counsel. The mapping should record legal assumptions, source versions, scope boundaries, and decisions requiring specialist review.
A checklist records whether a requirement appears to be addressed. A control map provides deeper traceability by connecting the requirement to a control objective, specific control activity, accountable owner, process or technology, evidence, testing approach, risk, status, and remediation action.
Typical deliverables include a regulatory obligation register, control library, requirement-to-control matrix, ownership model, evidence catalogue, test procedure register, gap and risk log, remediation roadmap, reporting dashboard specification, and handover pack. Deliverables are adapted to the organisation’s governance and assurance environment.
Timing depends on the number of regulations, jurisdictions, entities, business processes, systems, data flows, existing controls, evidence quality, stakeholder availability, and validation cycles. A focused mapping can be smaller, while enterprise-wide harmonisation across multiple regimes requires broader discovery and review.
Pricing is influenced by regulatory scope, control-library maturity, number of processes and systems, jurisdictions, depth of evidence review, stakeholder workshops, assurance requirements, deliverable formats, remediation support, and the chosen fixed-scope, advisory, capacity, or managed-service model.
Yes. A harmonised control library can allow one well-designed control to address several related obligations. The map should still preserve traceability to each source requirement and identify differences in scope, timing, evidence, data categories, geography, or enforcement expectations.
Gaps are identified by comparing obligations and control objectives with documented policies, implemented activities, system safeguards, ownership, evidence, and test results. Prioritisation considers regulatory exposure, data sensitivity, affected individuals, operational impact, likelihood, dependency, remediation effort, and decision-maker risk tolerance.
Yes. Follow-on support can include control design, policy and procedure updates, evidence workflow design, ownership mobilisation, technology requirements, remediation governance, testing support, training, dashboard design, and managed maintenance. Responsibilities and acceptance criteria are agreed separately.
Maps should be version-controlled and reviewed when laws, guidance, systems, data uses, vendors, business processes, organisational responsibilities, incidents, audit findings, or risk decisions change. A defined owner, review cadence, change process, evidence standard, and approval workflow helps keep the map usable.