Data cannot be found or trusted
Teams spend time locating datasets, confirming definitions, identifying owners and reconciling conflicting reports.
Dataconsultant helps data, technology, privacy, security and compliance teams assess, design, implement and operate Microsoft Purview. The service connects platform configuration with ownership, metadata, lineage, classification, information protection and compliance processes so organisations can improve visibility, control and evidence across hybrid data estates.
A Microsoft Purview service is a structured engagement to make the platform useful in practice—not merely enabled. It combines platform architecture, source onboarding, metadata and lineage, classification, information protection, privacy and compliance configuration with governance roles, workflows, controls, training and measurable operating procedures.
The exact scope depends on the Purview capabilities licensed, the data estate, regulatory context and the organisation’s retained responsibilities.
Purview is most valuable when platform capability is linked to clear business, governance, privacy and security decisions.
Teams spend time locating datasets, confirming definitions, identifying owners and reconciling conflicting reports.
Changes, incidents and audits are harder to assess because upstream sources, transformations and downstream usage are unclear.
Organisations lack consistent discovery, classification, labelling and handling controls across files, platforms and business processes.
Privacy, retention, communications, investigations and audit evidence are managed through disconnected tools and manual processes.
Owners and stewards lack practical workflows, prioritised domains, service expectations and platform-supported accountability.
The tenant may be available, but scanning, collections, glossary, policies, user journeys and reporting are not operating at scale.
Modules are selected according to the business case, technical feasibility, licensing, regulatory context and maturity.
Define priority use cases, stakeholders, success measures, tenant and account structure, source scope, architecture, connectivity, security boundaries, licensing assumptions, implementation waves and responsibility model.
Design collections and domains, register sources, configure scans, improve metadata, establish glossary terms, assign ownership, define curation workflows and create practical search and discovery journeys for business and technical users.
Configure automated and manual lineage approaches, classification rules, sensitivity context, critical-data indicators and review processes. Assess gaps where native scanning cannot capture transformation logic or business-process lineage.
Support sensitivity-label strategy, information protection, data loss prevention, endpoint and collaboration controls, alert and escalation design, policy testing and alignment with identity, security operations and acceptable-use requirements.
Configure or improve retention, records management, audit, eDiscovery, communication compliance and privacy-related inventories or assessments where applicable. Legal interpretation and formal regulatory decisions remain with authorised client specialists.
Define product ownership, administration, stewardship, source onboarding, issue management, change control, release review, service levels, reporting, training and continual improvement. Managed support can supplement—not replace—retained client accountability.
Deliverables are adapted to the selected workload and implementation phase.
| Deliverable | What it covers | Typical format | Client input required |
|---|---|---|---|
| Readiness and current-state assessment | Use cases, estate, licensing, connectivity, controls, maturity, risks and dependencies | Assessment report and findings register | Stakeholder access, inventories, architecture and policies |
| Purview solution and control architecture | Accounts, collections, domains, integrations, identity, network, security and environments | Architecture diagrams and decision record | Cloud, network, identity and security review |
| Configuration and implementation backlog | Source onboarding, scans, classifications, glossary, lineage, policies and rollout waves | Prioritised backlog and configuration workbook | Source owners, credentials, approvals and test data |
| Governance operating model | Ownership, stewardship, administration, workflows, forums, escalation and service levels | RACI, role profiles, process maps and governance calendar | Executive, HR, governance and business-domain decisions |
| Control and compliance mapping | Policies, evidence, exceptions, privacy, retention, security and audit requirements | Control matrix and traceability register | Legal, privacy, security, risk and audit validation |
| Training and handover pack | Administrator, steward, owner and user guidance; support and release procedures | Runbooks, guides, workshops and recorded materials | Named role holders and support ownership |
| KPI and service reporting framework | Coverage, adoption, quality, issues, policy performance and continual improvement | Dashboard specification and reporting cadence | Baseline data, targets and accountable reviewers |
The sequence is phased so that governance decisions, platform configuration and adoption develop together.
Confirm business outcomes, priority risks, users, sponsors, workloads and measurable success criteria.
Primary output: agreed scope and decision map.
Review data sources, tenancy, licensing, connectivity, metadata, controls, governance maturity and existing Purview configuration.
Primary output: evidence-based readiness findings.
Define architecture, collections or domains, roles, workflows, classifications, policies, environments and rollout principles.
Primary output: target design and implementation backlog.
Implement agreed capabilities, connect priority sources, configure scans, metadata, lineage, labels, controls and reporting.
Primary output: tested Purview configuration.
Run technical, security, privacy, governance and user-acceptance checks; document gaps, exceptions and remediation.
Primary output: pilot evidence and release decision.
Expand by domain or workload, train role holders, transition support, monitor KPIs and maintain a continual-improvement backlog.
Primary output: operational service and adoption plan.
Executive sponsor, Purview product owner, data owners, stewards, administrators and risk acceptors.
Purpose, minimisation, sensitive-data discovery, rights workflows, retention, deletion and legal review.
Identity, privileged access, network paths, credentials, segregation, monitoring and incident response.
Required fields, glossary standards, classification precision, lineage review and stale-asset management.
Configuration control, testing, release assessment, exception approval and rollback procedures.
Connector risk, supplier access, shared responsibility, contracts, data residency and support dependencies.
Control mapping, audit logs, policy records, decisions, exceptions and documented limitations.
Requests, incidents, scan failures, support tiers, service levels, reporting and continual improvement.
A Purview design often interacts with multiple Microsoft and non-Microsoft services. Exact compatibility and licensing should be checked against current vendor documentation.
| Model | Best suited to | Typical scope | Client involvement | Commercial basis |
|---|---|---|---|---|
| Readiness assessment | Organisations deciding whether and how to proceed | Current state, feasibility, use cases, risks and roadmap | High during interviews and evidence review | Fixed scope or milestone fee |
| Implementation project | Defined workloads, sources and target outcomes | Design, configuration, integration, testing and handover | Moderate to high | Project or milestone fee |
| Advisory and assurance | Client-led programmes requiring specialist review | Architecture, controls, design authority and quality gates | High retained ownership | Retainer or time-based |
| Dedicated specialist capacity | Backlogs with changing priorities | Administration, engineering, governance or compliance support | Shared planning and supervision | Monthly capacity |
| Managed Purview operations | Established platform requiring ongoing support | Monitoring, onboarding, administration, reporting and improvement | Governance and risk decisions retained | Recurring managed-service fee |
| Training and capability building | Teams building internal self-sufficiency | Role-based workshops, playbooks, coaching and knowledge transfer | Active participation required | Course, workshop or programme fee |
Targets should be based on a documented baseline and should distinguish platform activity from business outcome.
Priority sources connected, assets scanned, scan success, freshness and unsupported-source backlog.
Required-field completion, classification precision, false-positive rate and review timeliness.
Assets with accountable owners, steward activity, issue assignment and escalation performance.
Critical flows documented, automated-lineage coverage, manual gaps and impact-analysis usability.
Active users, searches, successful discovery, glossary usage, data-product adoption and satisfaction.
Policy coverage, alerts, exceptions, issue resolution, audit evidence readiness and support service levels.
A reliable estimate requires discovery. Dataconsultant separates consulting scope from Microsoft licensing, Azure consumption and third-party costs.
Connector support, lineage depth and metadata availability differ across technologies. Gaps may require manual processes or custom engineering.
Finding sensitive or poor-quality data creates action requirements; it does not automatically correct source systems or business processes.
Rules can generate false positives or miss contextual sensitivity. Testing, review and ownership are required.
Microsoft product packaging, pricing and feature availability may change. Current terms should be confirmed before approval.
Business ownership, legal interpretation, policy approval and risk acceptance must remain with authorised client roles.
A technically sound configuration may deliver limited value without role clarity, training, communication and integration into daily work.
Microsoft Purview is a family of data governance, security, risk and compliance capabilities used to discover data, manage metadata and lineage, classify information, apply protection controls and support privacy and compliance processes across Microsoft and connected environments.
Scope can include readiness assessment, use-case design, operating model, account and collection structure, source registration, scans, glossary, classification, lineage, access policies, information protection, data loss prevention, retention, privacy workflows, reporting, training and managed operations.
Purview can connect to many cloud, database, analytics and on-premises sources, but coverage varies by connector, network design, authentication, scan capability and licensing. A source-by-source feasibility assessment is recommended.
Timing depends on source count, connectivity, tenancy, licensing, metadata quality, security approvals, governance readiness, custom integration, review cycles and rollout scope. A phased estimate should be produced after discovery rather than using an unverified fixed duration.
No. Purview can improve visibility, ownership, classification and lineage, but data-quality remediation usually needs rules, monitoring, accountable owners and changes in source systems or business processes.
Typical participants include an executive sponsor, Purview product owner, data governance lead, data owners and stewards, cloud and platform administrators, network and identity teams, privacy, security, compliance, legal, risk, records management and source-system owners.
Purview capabilities can support discovery, metadata, lineage and governance for Microsoft Fabric scenarios, subject to current feature support, tenancy, configuration and licensing. The design should align Fabric domains, workspaces, data products, security and ownership with the wider governance model.
Begin with a focused current-state assessment covering priority use cases, configuration, source coverage, scans, metadata quality, ownership, search journeys, controls, roles, adoption barriers and licensing. The result should be a prioritised recovery and rollout backlog.
Consulting cost depends on scope, environments, sources, integrations, controls, migration, documentation, training and support. Microsoft licensing and consumption charges are separate and should be validated against current Microsoft terms before commitment.
Yes. Managed support can cover scan monitoring, source onboarding, glossary and classification administration, issue triage, lineage review, policy coordination, release assessment, reporting, user support and continual improvement under agreed responsibility boundaries.
Useful measures include source coverage, scan success, classified asset coverage, glossary adoption, owner assignment, lineage completeness, search success, policy coverage, issue resolution time, control exceptions, user adoption and audit evidence readiness.
No. Purview can support governance, privacy and compliance processes, but legal interpretation, regulatory applicability and risk acceptance remain responsibilities for authorised client specialists and counsel.
Discuss your priority use cases, current environment, governance maturity, compliance requirements and delivery constraints. Dataconsultant can help define an assessment, implementation, assurance, training or managed-support scope.