Trusted Metrics
Identify conflicting definitions, duplicated logic and unclear ownership behind important business measures.
Assessments & Audits · Platform Health Checks
Business Intelligence Health Check for Reliable, Governed Reporting
DataConsultant reviews the BI environment behind business-critical dashboards and reports to identify reliability, performance, metric, access, governance, adoption and operating risks. The engagement converts evidence from your BI estate into prioritised findings, a remediation backlog and a decision-ready roadmap for improvement.
Review KPIs, semantic models and reporting consistency
Assess refresh reliability, performance and technical debt
Examine access, governance, release and support controls
Prioritise remediation by business impact, evidence and dependency
Scope, timeline and commercial terms are confirmed after reviewing platforms, environments, reports, semantic models, data dependencies, access constraints, evidence availability and required deliverables.
Illustrative assessment interface only. It does not represent client data, a proprietary score or a guaranteed outcome.
More Reliable Reporting
Surface refresh, dependency, support and release weaknesses that make dashboards fragile or difficult to operate.
Performance Visibility
Separate report, model, data, platform and usage contributors to slow or inconsistent BI experiences.
Actionable Remediation
Convert findings into sequenced work with dependencies, owners, acceptance considerations and decision points.
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Use a BI Health Check When Reporting Works, but Confidence or Supportability Is Eroding
The service is designed for organisations that already have a BI estate and need an evidence-based view of what is reliable, what is fragile, what is duplicated and what should be fixed before adding more reports, users, data or platform complexity.
Conflicting reports and KPIs
Different dashboards answer the same question differently, metric logic is copied across assets or business users reconcile numbers outside the platform.
Refresh and dependency failures
Scheduled refreshes fail, upstream changes break reports, recovery is manual or teams cannot trace which data dependency caused an incident.
Slow or unstable dashboards
Users experience long load times, timeouts or inconsistent performance without a clear view of whether the issue sits in the report, model, source or platform.
Access and sharing concerns
Workspace, project, group or row-level access has grown organically and the organisation needs to understand ownership, review and exposure risks.
Low adoption and report sprawl
Teams maintain many overlapping reports while business users still export to spreadsheets, build shadow reporting or struggle to find the trusted view.
Growing operational burden
Support demand, release effort, unused assets, licensing questions, technical debt and undocumented dependencies make the BI estate harder to manage.
Service Definition
An Assessment of the Decision-Support System, Not Just the Dashboard Layer
A Business Intelligence Health Check examines the business, information, technical and operating components that determine whether reporting can be trusted and sustained. Scope is agreed around the most important decisions and BI assets, then evidence is reviewed across metric definitions, semantic models, source dependencies, data transformations, refresh operations, performance, security, governance, usage and support processes.
Assessment outputEvidence-backed findings, risks, limitations, priorities and a remediation roadmap.
Not a certificationNo statutory assurance, legal opinion, platform guarantee or compliance certificate is implied.
Platform-awareConfiguration and telemetry can be reviewed where the client provides appropriate access and evidence.
Business-ledCritical reports, KPIs, users and decision workflows determine where technical depth should be concentrated.
Get an Evidence-Based View Before You Add More BI Complexity
Share the reports, platform concerns, repeated incidents or trust issues that matter most. DataConsultant can help define a bounded health-check scope around the decisions and assets that need the closest review.
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Assessment Domains That Explain Whether the BI Estate Is Trustworthy and Operable
Not every engagement needs equal depth in every domain. The scope should concentrate on the BI assets, controls and dependencies that are material to business decisions, service continuity, risk or planned change.
Report & dashboard portfolio
Review criticality, duplication, ownership, usability, lifecycle, certification or endorsement practices and content sprawl.
- Asset inventory and criticality
- Duplicate or obsolete content
- Role and decision alignment
KPI & semantic layer
Assess metric definitions, reusable models, dimensions, calculation logic, consistency, documentation and ownership.
- Metric reconciliation
- Model reuse and duplication
- Definition governance
Data & refresh reliability
Trace source dependencies, transformation paths, refresh schedules, failure modes, latency expectations and recovery practices.
- Dependency traceability
- Refresh failures and recovery
- Reconciliation evidence
Performance & scalability
Review performance evidence across reports, models, queries, data sources, concurrency, capacity and workload patterns.
- Slow views and queries
- Model and workload contributors
- Capacity and scale considerations
Security & access
Examine identities, roles, sharing, workspace or project permissions, sensitive-data exposure, review practices and evidence.
- Least-privilege considerations
- Access ownership
- Sharing and export risk
Release & change control
Assess environments, versioning, testing, deployment, approvals, rollback readiness, documentation and dependency management.
- Controlled promotion
- Test and acceptance evidence
- Change traceability
Adoption & self-service
Review user behaviour, discoverability, support demand, self-service boundaries, training needs and ownership of trusted content.
- Usage and inactive assets
- User journeys and findability
- Enablement and guardrails
Operations, cost & technical debt
Assess support processes, recurring incidents, monitoring, documentation, licence or capacity visibility, obsolete assets and maintainability.
- Operational supportability
- Cost visibility where evidence exists
- Technical-debt backlog
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Evidence Reviewed: From Business-Critical Reports to Platform Operations
The review should be traceable to evidence. Missing, inconsistent or inaccessible evidence is documented as a limitation or control gap rather than silently replaced with assumptions.
Typical evidence request
BI asset inventoryReports, dashboards, datasets, semantic models, workspaces or projects, owners and criticality.
Metric definitionsKPI catalogues, formulas, business rules, dimensions, thresholds and approval history.
Architecture & lineageSource-to-report flows, integrations, data marts, warehouses, lakehouses and transformation dependencies.
Refresh & incident historyFailures, recoveries, service tickets, recurring defects, outage records and known workarounds.
Performance evidenceQuery or view timings, model observations, workload patterns, capacity signals and user complaints.
Security & accessRoles, groups, workspace or project permissions, row-level controls, sharing and review evidence.
Usage & adoptionActive users, report usage, inactive assets, exports, support demand and self-service patterns where available.
Release & support modelDeployment procedures, testing, approvals, runbooks, ownership, escalation and change backlog.
Agree What to Inspect Before the Assessment Starts
A focused evidence plan avoids wasting time on low-value inventories while ensuring critical reports, semantic models, refresh dependencies, access controls and operational issues are reviewed at the depth required.
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Deliverables Designed for Remediation Decisions, Not Just Observation
The final pack is adapted to the agreed assessment depth. Typical outputs create a traceable bridge from current-state evidence to action, ownership and follow-on delivery.
DELIVERABLE 01
Assessment scope & evidence register
Objectives, in-scope assets, stakeholders, evidence sources, exclusions, assumptions and limitations.
DELIVERABLE 02
BI estate health view
Critical reports, models, workspaces, dependencies, ownership and material operational relationships.
DELIVERABLE 03
KPI & semantic findings
Definition conflicts, duplicated logic, model design concerns, reconciliation gaps and ownership issues.
DELIVERABLE 04
Reliability & performance findings
Refresh failures, dependency risks, slow workloads, capacity considerations and maintainability concerns.
DELIVERABLE 05
Access & governance observations
Permissions, sharing, ownership, release, lifecycle, monitoring and evidence gaps within the agreed scope.
DELIVERABLE 06
Operational risk register
Material risks, affected assets, business impact, evidence, dependencies and accountable owner types.
DELIVERABLE 07
Optimisation & rationalisation backlog
Actions to simplify, standardise, retire, tune, document, monitor or strengthen the BI estate.
DELIVERABLE 08
Prioritised remediation roadmap
Sequenced actions, prerequisites, decision gates, ownership, implementation options and executive readout.
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How the Health Check Moves From Scope to Validated Findings
The process separates evidence collection from interpretation, validates material findings with accountable stakeholders and keeps remediation recommendations connected to business criticality and technical dependencies.
Scope
Confirm business-critical decisions, platforms, assets, stakeholders, evidence boundaries and exclusions.
Collect Evidence
Gather inventories, telemetry, models, access information, incidents, documentation and stakeholder context.
Assess
Review reporting, semantic, refresh, performance, control, usage and operational conditions against agreed criteria.
Diagnose
Connect symptoms to dependencies and contributing conditions where the evidence is sufficient.
Validate
Review material findings, constraints, ownership and practical implications with client stakeholders.
Prioritise & Read Out
Sequence remediation, document dependencies and provide a decision-ready executive and delivery view.
How findings are prioritised
- Business criticality of the affected report, metric or decision workflow.
- Reliability, security, governance or operational impact supported by evidence.
- Frequency and recurrence of failures, workarounds or support demand.
- Number and type of users, domains or downstream decisions affected.
- Dependencies, remediation effort, sequencing constraints and change risk.
- Confidence in the evidence and whether further diagnosis is required.
No invented maturity score or pass/fail threshold
The engagement can use a client-approved or externally recognised assessment method where one is appropriate and supportable. Otherwise, findings are presented transparently with evidence, impact, limitations and prioritised actions rather than creating a proprietary score that implies false precision.
Client Readiness
What DataConsultant Needs From Your BI Environment
A useful health check needs access to the people and evidence that explain both how the BI estate was designed and how it actually behaves in operation. Inputs do not need to be perfect; missing evidence is itself recorded where it affects confidence in the assessment.
Scope boundary: dashboard rebuilding, semantic-model redesign, data remediation, source-system changes, platform migration, penetration testing, legal advice, formal assurance and managed operations are not automatically included unless separately scoped.
Business-critical reportingPriority dashboards, KPIs, business processes, regulatory or management reports and named owners.
Platform & environment inventoryBI tools, environments, workspaces or projects, gateways, capacities, servers and major dependencies.
Model & data evidenceSemantic models, datasets, data marts, transformations, lineage, refresh schedules and source systems.
Operational historyRefresh failures, incidents, defects, recurring workarounds, support demand and known performance issues.
Security & governanceRoles, access groups, sharing practices, ownership, release controls, lifecycle rules and review evidence.
Usage & adoptionUsage data, inactive content, user groups, export patterns, training needs and self-service boundaries.
Cost & licensing contextLicence, capacity or infrastructure information where cost visibility is part of the agreed assessment.
Stakeholder accessBusiness owners, BI administrators, architects, data engineers, governance, security and support teams as required.
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Choose a Health Check When You Need Diagnosis Before Build or Remediation
The service is deliberately assessment-led. If the required answer is already known and the organisation only needs implementation capacity, a consulting, engineering or managed BI engagement may be a better starting point.
Good fit for a BI health check
- Leadership needs an independent evidence view before approving more BI investment.
- Multiple reports or models disagree and ownership is unclear.
- Refresh, performance or support problems recur without reliable diagnosis.
- A migration or platform modernisation is planned and technical debt must be understood first.
- Report sprawl, unused content or self-service growth has weakened control and findability.
- Business, data and platform teams need one prioritised remediation backlog.
May require a different starting service
- A single known dashboard defect only needs immediate development support.
- The primary requirement is to build new dashboards or a semantic model from defined requirements.
- The main issue is persistent upstream data quality requiring a broader remediation programme.
- The organisation needs a formal security test, statutory audit, legal advice or certification.
- Ongoing monitoring, incident handling and enhancement capacity are the primary need.
- No accountable stakeholder can identify critical reports, provide evidence or validate findings.
Turn BI Findings Into a Backlog Your Teams Can Actually Execute
Use the health check to separate urgent reliability and control work from rationalisation, optimisation, governance and longer-term platform improvements, with dependencies and ownership made explicit.
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Review BI Platforms in the Context of Their Data, Controls and Operating Model
The assessment remains requirements-led rather than forcing a single vendor pattern. Platform-specific configuration depth depends on the client environment, available evidence and agreed access.
Microsoft Power BI & Fabric
Reports, semantic models, workspaces, refresh, deployment, access, capacity and operational evidence where applicable.
Tableau
Workbooks, data sources, projects, refreshes, permissions, performance evidence, server or cloud administration and content lifecycle.
Qlik
Apps, data models, reloads, spaces or streams, access, monitoring evidence, usage and operational supportability.
Looker
Models, Explores, dashboards, permissions, usage, query behaviour, content governance and platform activity evidence where available.
Data & integration estate
Warehouses, lakehouses, databases, data marts, transformations, gateways, orchestration and source dependencies that materially affect BI health.
Security
Identity, least privilege, sharing, row-level access, privileged administration, secrets and review evidence within the agreed scope.
Quality
Source reconciliation, transformation checks, metric validation, refresh monitoring, defect handling and acceptance evidence.
Governance & lineage
Ownership, critical metrics, documentation, lifecycle, lineage, release responsibilities and escalation paths.
Privacy & compliance context
Relevant data handling, classification, access and evidence considerations are reviewed where applicable without claiming legal advice or certification.
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Business Intelligence Health Check Pricing Is Confirmed After Scope and Evidence Review
No approved fixed DataConsultant public fee is used for this service. A reliable quote depends on the assessment boundary, the size and complexity of the BI estate and the depth of evidence and configuration review required.
Custom Scope & Pricing
The commercial proposal should state the platforms, environments, assets, evidence, stakeholder involvement, assessment domains, outputs, exclusions and any follow-on support included. Third-party software, cloud or licence charges remain separate unless expressly included in the agreed commercial scope.
Commercial basis Request a QuoteNumber of BI platforms and environments
Reports, dashboards, semantic models and workspaces in scope
Data sources, transformations and dependency complexity
Depth of performance and configuration review
Security, privacy, governance and evidence requirements
Stakeholder interviews, workshops and validation cycles
Onsite, controlled-access or restricted-environment needs
Executive readout, roadmap depth and remediation planning
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Why DataConsultant for a Business Intelligence Health Check
The assessment connects business reporting needs with data, platform, governance and operating realities so remediation decisions are not isolated inside a dashboard tool.
Decision-first assessment
Critical reports, KPIs and user decisions determine where the review goes deep, helping keep the engagement bounded and relevant.
Cross-layer diagnosis
Reporting issues are examined across semantic logic, upstream data, refresh dependencies, platform behaviour, controls and support processes.
Evidence and limitations documented
Findings are tied to available evidence, with uncertainty and missing information made visible instead of creating false precision.
Remediation-ready outputs
The final pack is designed to support ownership, prioritisation, planning and implementation rather than ending with observations alone.
Requirements-led platform view
Recommendations can consider Power BI, Fabric, Tableau, Qlik, Looker and supporting data platforms without assuming one vendor is always the answer.
Continuity into implementation
Where required, findings can be handed into BI consulting, data quality, platform improvement, governance, managed operations or knowledge transfer.
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Related Services When the Health Check Identifies a Larger Need
Use adjacent services only when the evidence shows the issue extends beyond assessment into implementation, upstream data quality, platform change or ongoing operations.
Choose the Right Next Step: Health Check, Remediation or Managed BI Support
Describe the reporting problem, the platforms involved and the decision you need to make. DataConsultant can help determine whether an assessment is the right entry point or whether the requirement is already clear enough for implementation.
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Business Intelligence Health Check FAQs
Practical answers for data, analytics, technology, risk, procurement and business leaders evaluating scope, evidence, deliverables, pricing and follow-on support.
What is a Business Intelligence Health Check?
A Business Intelligence Health Check is an evidence-led review of the reporting and analytics environment used to support business decisions. It can assess report and dashboard portfolios, KPI definitions, semantic models, data transformations, refresh reliability, performance, access controls, workspace or project structure, usage, supportability, governance and cost visibility. The output is a documented set of findings, risks, priorities and remediation actions rather than a certification or pass/fail audit.
When should an organisation commission a BI health check?
Common triggers include conflicting KPIs, repeated reconciliation work, slow dashboards, refresh failures, duplicate reports, uncontrolled self-service content, low adoption, access concerns, rising platform complexity, migration planning, recurring support incidents, audit findings or uncertainty about whether the current BI estate can scale reliably.
Which parts of our BI environment can be reviewed?
Scope can include business-critical dashboards and reports, semantic models, datasets, data marts, transformations, gateways or connectors, scheduled refreshes, deployment and release processes, workspace or project organisation, identity and access settings, monitoring, support processes, usage telemetry, documentation, ownership, licensing or capacity visibility, and dependencies on upstream data platforms.
Which BI platforms can be included?
The assessment can be designed around Microsoft Power BI and Microsoft Fabric, Tableau, Qlik, Looker and other enterprise reporting environments where access, evidence and supportability are confirmed. The review can also include the warehouses, lakehouses, databases, data marts, orchestration and transformation services that materially affect BI reliability.
Do you review KPI definitions and semantic models as well as technical performance?
Yes, when included in scope. A technically fast dashboard can still be unreliable if measures are inconsistently defined, ownership is unclear or business logic differs across models. The health check can therefore examine metric definitions, model structure, reuse, reconciliation, lineage, calculation logic, documentation and approval responsibilities alongside refresh and performance evidence.
What evidence should we prepare?
Useful evidence includes report and dashboard inventories, critical KPI lists, architecture diagrams, semantic model or dataset documentation, refresh and failure history, performance observations, workspace or project inventories, access-role information, deployment procedures, incident and enhancement backlogs, usage data, licence or capacity information where relevant, data-quality reports, reconciliation examples and access to business owners and BI platform administrators.
Will DataConsultant need production access?
Not always. The evidence model is agreed during scoping. Some reviews can be performed from exported inventories, screenshots, configuration extracts, telemetry, documentation and controlled walkthroughs. Deeper technical findings may require read-only or supervised access to selected platform administration, model, monitoring or source-system information. Access should follow client-approved security and least-privilege requirements.
How are findings prioritised?
Findings are prioritised using the agreed business and technical context rather than an arbitrary proprietary score. Considerations can include decision criticality, reliability impact, control exposure, recurrence, number of affected users or reports, operational effort, technical debt, dependencies, remediation complexity and confidence in the available evidence. Assumptions and evidence limitations are documented.
What deliverables will we receive?
Typical outputs can include an assessment scope and evidence register, BI estate and dependency view, current-state findings, KPI and semantic-model observations, reliability and performance findings, access and governance observations, operational risk register, rationalisation or optimisation backlog, prioritised remediation plan, roadmap and an executive readout. The final set depends on the agreed scope.
Does the health check include fixing dashboards or models?
Remediation is not automatically included. The health check identifies and prioritises work. Follow-on implementation can be scoped separately for model redesign, dashboard rationalisation, data-quality remediation, performance tuning, access changes, platform migration, monitoring improvements, governance setup, testing, training or managed BI operations.
How long does a Business Intelligence Health Check take?
The timeline is confirmed after scoping. It depends on the number of BI platforms, environments, reports, semantic models, data sources, business units, stakeholder groups, evidence quality, access constraints, depth of configuration review and the amount of validation required before findings can be finalised.
How is Business Intelligence Health Check pricing calculated?
DataConsultant does not use an unverified fixed public fee for this service. Pricing is scope-led and is confirmed through a Request a Quote process after the number of platforms, environments, reports, models, data sources, stakeholder groups, evidence depth, security requirements, onsite needs, deliverables and any follow-on remediation support are understood.
Does a BI health check certify compliance or platform security?
No. The service can identify control gaps, access concerns, evidence limitations and governance risks relevant to the agreed BI scope, but it is not a statutory audit, legal opinion, formal certification, penetration test or guarantee of compliance or security. Specialist legal, privacy, cybersecurity or assurance review may be required for those purposes.
Can DataConsultant support remediation after the assessment?
Yes. Follow-on support can be scoped through business intelligence consulting, data quality improvement, platform consulting, data engineering, governance implementation, testing, managed BI operations or knowledge transfer. The health-check findings can be converted into a prioritised backlog with clear ownership, dependencies and acceptance criteria.
Business Intelligence Health Check Enquiry
Request a BI Health Check Scope Review
Share your contact details and requirement. DataConsultant can review the likely assessment boundary, evidence needs, stakeholder involvement and appropriate next step.