Who owns this data?
Ownership and stewardship artefacts clarify who approves standards, who maintains definitions, who resolves quality issues and where exceptions are escalated.
Managed Data Governance & Protection for Business-Critical Data
Rudrriv manages specialist selection, scope coordination, document review and final delivery so your team can build governance without coordinating individual freelancers.
✦Service Highlights
- Choose a focused baseline review, a working governance framework or a broader multi-domain governance and protection blueprint.
- Define ownership, stewardship, classification, access, retention, issue handling and control responsibilities in practical operating terms.
- Receive prioritised gaps and an implementation roadmap rather than a generic policy pack with no execution path.
- Privacy and protection-control mapping can be included where relevant, without presenting the work as legal advice or independent certification.
- Rudrriv manages the professionals, workflow, review and final delivery from brief to handover.
What Clients Appreciate
See all supplied reviewsS
Databases & Engineering
This Databases & Engineering project was handled with a level of discipline that made a complicated brief feel manageable from the start. They paid close attention to scalability, reliability, backup planning, schema design, and indexing, and they explained the trade-offs behind the choices instead of simply delivering a black-box result. We came away with a stronger data platform that supported growth without the performance issues we had been seeing. The supporting database scripts, pipeline definitions, architecture notes, and operational documentation were organized clearly and saved us from having to reverse-engineer the work later.
3 months ago
About This Data Governance & Protection Service
Build governance that people can operate, not just approve
Data governance gives an organisation a repeatable way to decide who is accountable for data, how important data is defined, which quality and access rules apply, how issues are escalated, and how the data lifecycle is controlled. Data protection adds the handling, retention, privacy and risk controls needed to reduce misuse, oversharing and unmanaged exposure.
Rudrriv delivers this as a managed professional service. You share the business context, systems, current policies and priority problems; Rudrriv coordinates appropriately matched professionals, consolidates the work, quality-checks the deliverables and manages the engagement through final handover.
What this service can cover
- Governance baseline: current-state maturity, recurring issues, ownership gaps and priority risks.
- Operating model: governance roles, councils, decision rights, stewardship responsibilities and escalation paths.
- Data classification: sensitivity levels, handling expectations and minimum metadata needed to apply them consistently.
- Access governance: role-based principles, approval responsibilities, periodic review expectations and exception handling.
- Retention & lifecycle: rules for keeping, archiving and disposing of data, with ownership for review and evidence.
- Data quality governance: critical-data priorities, issue ownership, quality rules, thresholds and remediation workflow.
- Catalog & lineage requirements: business glossary, critical data elements, ownership metadata and lineage expectations where relevant.
- Privacy and protection mapping: operational control mapping to relevant privacy requirements, including India’s DPDP Act 2023 and DPDP Rules 2025, GDPR or contractual obligations when requested.
- Implementation roadmap: sequenced actions, accountable owners, governance cadence, metrics and tooling requirements.
What we need from you
Share the business outcome you are trying to achieve, priority data domains or systems, existing governance and privacy documents, organisational roles, recent audit findings or recurring data issues, current tools, important contractual or regulatory obligations, and the timeline for implementation. Initial discovery can usually be completed from metadata, policies, screenshots, inventories and redacted examples rather than production datasets.
How the managed delivery works
01
Scope & evidence
Rudrriv reviews objectives, systems, policies, known risks, stakeholders and the data domains that matter most.
02
Assess & design
The delivery team identifies governance gaps and designs ownership, classification, access, retention and issue-handling structures for the agreed scope.
03
Review & control mapping
Draft outputs are checked against your operating context, applicable obligations and the package’s agreed protection-control depth.
04
Handover & roadmap
You receive the approved governance artefacts, prioritised actions and handover guidance needed to move into implementation.
What good governance should make easier
The final deliverables are designed to reduce ambiguity around ownership, permitted use, handling rules, data-quality accountability and escalation. They also create a clearer foundation for audits, privacy programmes, analytics, AI adoption, data-platform change and tool implementation because key rules and decision rights are documented before technology is configured around them.
Scope boundary
This service is for governance design, operational documentation, control mapping and implementation planning. Legal opinions, independent certification, penetration testing, security engineering, platform licensing and large-scale tool configuration are not included unless separately scoped.
Compare Data Governance Packages
Choose the package by governance depth, number of priority data domains and how much operating-model and protection-control design you need.
| Included |
₹4,999
Essential
Governance Baseline Review
For a focused view of one priority data domain and a practical first action plan. |
₹14,999
Professional Recommended
Governance Framework Pack
For teams that need a working governance model, core policies and control responsibilities. |
₹29,999
Advanced
Governance & Protection Blueprint
For broader multi-domain governance, privacy/control mapping and rollout planning. |
|---|---|---|---|
| Priority data domains | 1 | Up to 2 | Up to 4 |
| Current-state gap review | ✓ | ✓ | ✓ |
| Ownership & stewardship RACI | Outline | ✓ | ✓ |
| Classification & handling standard | Outline | ✓ | ✓ |
| Access & retention rules | Priority actions | ✓ | ✓ |
| Issue & escalation workflow | — | ✓ | ✓ |
| Risk & control register | Starter | ✓ | Expanded |
| Data-flow / lifecycle review | — | High level | Multi-domain |
| Privacy / obligation mapping | — | Selected needs | Expanded mapping |
| Governance KPI & review cadence | — | ✓ | ✓ |
| Implementation roadmap | 30-day | 60-day | 90-day |
| Revision rounds | 1 | 2 | 3 |
| Standard delivery | 5 business days | 8 business days | 12 business days |
| Package price | ₹4,999 |
₹14,999 |
₹29,999 |
Questions the Deliverables Should Help Your Team Answer
How may it be accessed and handled?
Classification, access and lifecycle rules make expectations visible for storage, sharing, retention, review and disposal across the agreed data scope.
What happens when a control fails?
Issue workflows, control registers, KPIs and roadmap priorities give teams a consistent path for identifying, assigning, escalating and closing governance problems.
Frequently Asked Questions
Data Governance & Protection is the set of ownership rules, policies, controls and operating processes used to keep business data understandable, appropriately accessed, retained for the right period and handled consistently. Rudrriv’s service focuses on practical governance design, documentation and implementation planning rather than producing a policy document in isolation.
Depending on the package, deliverables can include a current-state governance assessment, governance charter, ownership and stewardship RACI, data-classification standard, access and retention rules, issue-escalation workflow, risk and control register, governance KPIs and a prioritised implementation roadmap.
Rudrriv offers three base packages: Essential at ₹4,999, Professional at ₹14,999 and Advanced at ₹29,999. The correct package depends on the number of data domains, depth of policy work, stakeholder complexity and whether privacy or protection-control mapping is required.
Standard delivery is 5 business days for Essential, 8 business days for Professional and 12 business days for Advanced. Timelines can change when discovery requires multiple stakeholders, additional systems, delayed source material or a larger custom scope.
Share the business objective, priority data domains or systems, existing policies and standards, known audit or data-quality issues, current ownership structure, technology stack, applicable regulatory or contractual requirements, and any deadlines. Sensitive production data is usually not needed for initial governance design.
Yes. Existing policies, standards, RACI matrices, audit findings, data catalogues, retention schedules and control registers can be reviewed and rationalised. The scope can focus on gaps, conflicts, missing ownership and practical improvements rather than replacing useful material.
The service can map governance and protection controls to privacy requirements such as India’s DPDP Act 2023 and DPDP Rules 2025, GDPR or customer-specific obligations when requested. It is operational governance support and does not replace legal advice, statutory interpretation, independent audit or certification.
The standard packages can define requirements, metadata fields, ownership workflows and implementation recommendations for governance tooling. Hands-on platform configuration, licensing, connector setup or large-scale catalogue population should be scoped separately as a custom engagement.
No. Data Governance & Protection defines how data should be owned, classified, accessed, retained, monitored and escalated. Penetration testing, vulnerability assessment, managed security operations and other technical security testing are separate services unless explicitly included in a custom scope.
Essential includes one consolidated revision round, Professional includes two, and Advanced includes three. Revisions cover reasonable adjustments to the agreed governance deliverables; major scope changes, new data domains or additional systems may require a revised quote.
Client Reviews
M
Mia Richter
🇩🇪 Germany
Databases & Engineering
We engaged the team on Databases & Engineering to create a scalable database and data-engineering foundation, and they were careful not to overcomplicate the solution. They kept a close eye on backup planning, schema design, indexing, ETL structure, and scalability. Progress updates were concise, and the evidence behind important decisions was easy for us to verify. The work ultimately produced a stronger data platform that supported growth without the performance issues we had been seeing. We also valued receiving database scripts, pipeline definitions, architecture notes, and operational documentation, which made the solution much easier to audit and maintain.
S
Sophie de Vries
🇳🇱 Netherlands
Databases & Engineering
The Databases & Engineering assignment involved several dependencies, but the team organized the work around a scalable database and data-engineering foundation and kept each milestone reviewable. A lot of value came from the attention to indexing, ETL structure, scalability, reliability, and backup planning. Instead of hiding uncertainty, the team documented it and showed us where additional data or different assumptions would change the result. We came away with a stronger data platform that supported growth without the performance issues we had been seeing. The final database scripts, pipeline definitions, architecture notes, and operational documentation were practical and detailed enough for both review and ongoing operation.
O
Oliver Hughes
🇬🇧 United Kingdom
Databases & Engineering
We hired the team for Databases & Engineering with a clear objective: deliver a scalable database and data-engineering foundation without creating a solution that was too fragile to maintain. The team worked methodically through scalability, reliability, backup planning, schema design, and indexing. That made revisions faster because issues were isolated, documented, and resolved rather than repeatedly resurfacing. The work ultimately produced a stronger data platform that supported growth without the performance issues we had been seeing. We also valued receiving database scripts, pipeline definitions, architecture notes, and operational documentation, which made the solution much easier to audit and maintain.
Request a Data Governance & Protection Quote
Tell us which data domains or systems are in scope, the governance problems you are trying to solve, existing policies or audit findings, relevant obligations and your target timeline. Rudrriv will review the brief and respond with the most suitable package or custom scope.
Business objectiveExplain why governance is needed now: audit findings, AI readiness, privacy obligations, data-quality issues, unclear ownership or a platform transformation.
Data domains & systemsList the priority business domains, platforms, databases, warehouses, SaaS applications or reporting environments that should be considered.
Existing governance materialShare current policies, standards, RACI matrices, catalogues, retention schedules, audit reports or control registers where available.
Protection & privacy concernsDescribe sensitive-data handling, access, retention, third-party sharing, privacy requirements or recurring control issues that need attention.
Stakeholders & timelineIdentify the people who need to review or approve the work and any audit, launch, board, client or regulatory deadline affecting delivery.
Desired outcomeTell us whether you need a baseline assessment, policy framework, stewardship model, protection-control mapping, implementation roadmap or a broader managed programme.
Helpful to include: current tools, priority data domains, major pain points, existing documents, obligations, expected stakeholders and deadline. Avoid sharing unnecessary personal or production-sensitive data in the initial enquiry.