Independent Evidence
Separate verified conditions from assumptions, anecdotes and one-off platform symptoms.
DataConsultant reviews the evidence behind your Microsoft Fabric estate—tenant and capacity configuration, workspaces, OneLake, data workloads, Power BI where relevant, security, governance, monitoring, lifecycle controls and operational practices—to identify material gaps and convert them into a prioritised remediation roadmap.
Scope, timeline, access model and commercial terms are confirmed after reviewing the Fabric estate, evidence available, critical workloads and the decisions the assessment must support.
Separate verified conditions from assumptions, anecdotes and one-off platform symptoms.
Connect capacity pressure, workload behaviour and monitoring gaps to supportability.
Review access, tenant settings, lifecycle and ownership against the estate’s risk context.
Turn findings into a sequenced backlog with owners, dependencies and validation needs.
A health check is most useful when reliability, performance, governance, cost or support concerns cross multiple Fabric layers and require a joined-up evidence review rather than isolated troubleshooting.
Teams see throttling, rejected queries, refresh contention or unpredictable workload peaks but do not have a clear view of capacity drivers and scheduling trade-offs.
Pipelines, notebooks, warehouses, semantic models or other critical jobs have recurring failures, long runtimes, freshness issues or weak diagnostic evidence.
Domains, workspaces, items, ownership and environment boundaries have evolved organically, making accountability, access and lifecycle decisions harder to control.
Tenant settings, Entra groups, workspace roles, item permissions and OneLake access patterns are not consistently understood or evidenced across the estate.
Operational teams depend on user reports and manual checks because capacity, job and workspace telemetry is incomplete, poorly retained or disconnected from support processes.
Growth in capacity, storage, duplicated assets, inefficient workloads and legacy practices makes it difficult to distinguish necessary spend from avoidable platform friction.
Share the symptoms, critical workloads and known constraints. DataConsultant can shape a health-check scope around the evidence needed to distinguish configuration gaps, workload pressure, control weaknesses and operational debt.
The service assesses the current health of a Microsoft Fabric environment against an agreed set of architecture, configuration, reliability, performance, security, governance, lifecycle, cost and operational criteria. Evidence can come from the Fabric administration experience, Capacity Metrics, Monitoring Hub, workspace monitoring where enabled, inventories, tenant and workspace configuration, logs, billing and usage information, architecture material and stakeholder interviews.
DataConsultant documents what was verified, what could not be verified, why a finding matters, the affected scope, likely contributing conditions and the recommended next action. The goal is to help platform owners make remediation and investment decisions—not to issue a generic score or imply certification.
The exact domain set is tailored to the estate and the buyer question. A full-platform review can span the areas below; a focused health check can concentrate on a smaller set of high-risk concerns.
Review capacity topology, workload placement, representative utilisation, peak demand and tenant-level operating choices.
Assess workspace organisation, business domains, environment separation, ownership, naming and support boundaries.
Review lakehouse and warehouse organisation, shortcuts where used, data-product boundaries, shared data patterns and access dependencies.
Assess pipelines, Dataflow Gen2 and other movement/orchestration patterns against reliability, recoverability and operational visibility needs.
Review notebooks, Spark, lakehouse and warehouse workload patterns where they affect performance, cost, maintainability or supportability.
Where in scope, assess semantic models, refresh or Direct Lake behaviour, workspace practices, permissions and capacity interaction.
Review the use of Capacity Metrics, Monitoring Hub, workspace monitoring and operational reporting relative to critical workloads.
Assess tenant settings, Entra group use, workspace roles, item permissions, OneLake security and data-access boundaries where relevant.
Review ownership, descriptions, lineage, classification, endorsement, policy evidence and catalogue or Purview alignment where used.
Assess source control, deployment pipelines, environment practices, approvals, testing and release evidence for applicable Fabric items.
Connect capacity and storage consumption, duplicated workloads and utilisation patterns to business criticality and technical choices.
Review ownership, runbooks, incident routes, change practices, support handoffs, knowledge concentration and improvement backlog.
Assessment conclusions should be traceable to real evidence. Missing or inaccessible evidence is documented as a limitation rather than silently replaced by assumption.
Bring together the evidence already available in Capacity Metrics, Monitoring Hub, workspace monitoring, access configuration and operational records so platform issues can be prioritised in one decision view.
Deliverables are selected during scoping and are designed to support both executive decisions and technical remediation. Outputs distinguish verified findings from assumptions, limitations and items requiring deeper validation.
Agreed assessment domains, decision questions, exclusions, evidence sources and validation criteria.
Tenant, capacities, domains, workspaces, critical workloads, owners and major dependencies in scope.
Configuration, workspace, OneLake, workload and integration observations with evidence and affected scope.
Workload pressure, throttling, scheduling, consumption and performance observations where evidence permits.
Tenant, workspace, item, OneLake, ownership, metadata and lifecycle control gaps within scope.
Monitoring coverage, telemetry gaps, incident evidence and opportunities to strengthen operational diagnosis.
Prioritised risks and gaps with impact, evidence, ownership needs, dependencies and confidence level.
Capacity, workload, duplication, lifecycle and support improvements with assumptions clearly stated.
Sequenced actions, owners, prerequisites, validation steps and implementation handoffs.
Decision summary for leadership plus technical handover for platform, engineering and governance teams.
The sequence is structured but not rigid. Depth changes with platform size, access, evidence quality and the questions the organisation needs answered.
Agree objectives, domains, critical workloads, exclusions, evidence and decision criteria.
Confirm minimum-privilege access or an evidence-only alternative and handling boundaries.
Review configuration, inventories, metrics, monitoring, controls and operating evidence.
Interview accountable owners, challenge assumptions and clarify conflicting evidence.
Assess impact, recurrence, exposure, dependency, effort and evidence confidence.
Define remediation actions, owners, sequencing, validation and implementation boundaries.
Review findings with executives and technical owners and agree the next decision path.
The health check works best when the review has access to representative evidence and accountable owners. Inputs do not need to be complete before discovery; known gaps can be recorded and incorporated into the assessment plan.
A Fabric platform can be technically functional and still carry material control or supportability gaps. The assessment considers the control context alongside architecture and workload behaviour.
Review role design, Entra group use, privileged administration and access ownership within agreed scope.
Review workspace, item and data-level access patterns and the relationship between convenience and least privilege.
Assess ownership, metadata, lineage, classification, endorsement and documented control responsibilities.
Review source control, deployment practices, environment separation, testing and approval traceability.
Clarify who monitors, triages, changes, approves, escalates and accepts remaining platform risk.
Important boundary: this service can identify technical, governance, security and privacy-related gaps, but it is not legal advice, a penetration test, a statutory audit, a Microsoft certification or a guarantee of compliance, security, performance, savings or risk elimination.
Structure the assessment so executive priorities, technical evidence, control gaps and remediation ownership are presented in one traceable package rather than separate platform reports.
Clear fit criteria keep the engagement focused. A build, migration, managed-support or specialist assurance service may be a better starting point when the need is already known.
DataConsultant does not publish a fixed fee for this Microsoft Fabric Health Check. A reliable like-for-like public INR benchmark cannot be stated responsibly because published market offers differ materially in depth, access, deliverables and whether implementation is bundled.
Pricing and timeline are confirmed after the estate, evidence and required decisions are understood. The proposal should make the included domains, exclusions, client inputs, access model, deliverables and follow-up options explicit.
Vendor costs are separate: Microsoft Fabric capacity, OneLake storage, Power BI licensing and other Azure or Microsoft consumption are not included in the consulting fee. For current vendor pricing, use the official Microsoft Fabric pricing page; vendor pricing can change.
For a defined capacity, throttling, performance or operational-visibility concern.
For cross-platform review spanning architecture, workloads, controls, operations and cost visibility.
For teams that also need independent confirmation after agreed fixes have been implemented.
Tell us the number of capacities and critical workspaces, the main symptoms, access constraints, governance concerns and the decisions you need from the final report. DataConsultant can propose an appropriate assessment depth.
The value of a platform assessment comes from traceable evidence, practical technical depth, explicit limitations and recommendations that can be acted on by both platform and governance teams.
Findings are tied to observable configuration, metrics, logs, inventories, documents and stakeholder evidence rather than generic checklists alone.
Capacity, workloads, security, governance, lifecycle and supportability are reviewed as connected operating concerns.
Ownership, access, tenant settings, OneLake controls, metadata and change responsibilities are not treated as an afterthought.
Recommendations are structured so platform owners can convert material findings into owned engineering and governance work.
The assessment distinguishes advisory findings from client decisions, implementation changes, vendor support and specialist assurance responsibilities.
Where needed, the findings can feed separate Fabric implementation, engineering, governance, lifecycle or managed-operations work.
Practical answers about scope, evidence, admin access, Capacity Metrics, OneLake security, Power BI, remediation, assurance boundaries, timeline and pricing.
Share your contact details and requirement. DataConsultant can review likely assessment domains, evidence needs, stakeholder involvement and the appropriate commercial scope.