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.
Scope, timeline and commercial terms are confirmed after reviewing platforms, environments, reports, semantic models, data dependencies, access constraints, evidence availability and required deliverables.
Trusted Metrics
Identify conflicting definitions, duplicated logic and unclear ownership behind important business measures.
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.
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.
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.
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.
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
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
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.
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.
Assessment scope & evidence register
Objectives, in-scope assets, stakeholders, evidence sources, exclusions, assumptions and limitations.
BI estate health view
Critical reports, models, workspaces, dependencies, ownership and material operational relationships.
KPI & semantic findings
Definition conflicts, duplicated logic, model design concerns, reconciliation gaps and ownership issues.
Reliability & performance findings
Refresh failures, dependency risks, slow workloads, capacity considerations and maintainability concerns.
Access & governance observations
Permissions, sharing, ownership, release, lifecycle, monitoring and evidence gaps within the agreed scope.
Operational risk register
Material risks, affected assets, business impact, evidence, dependencies and accountable owner types.
Optimisation & rationalisation backlog
Actions to simplify, standardise, retire, tune, document, monitor or strengthen the BI estate.
Prioritised remediation roadmap
Sequenced actions, prerequisites, decision gates, ownership, implementation options and executive readout.
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.
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.
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.
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.
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 QuoteWhy 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.
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.
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?
When should an organisation commission a BI health check?
Which parts of our BI environment can be reviewed?
Which BI platforms can be included?
Do you review KPI definitions and semantic models as well as technical performance?
What evidence should we prepare?
Will DataConsultant need production access?
How are findings prioritised?
What deliverables will we receive?
Does the health check include fixing dashboards or models?
How long does a Business Intelligence Health Check take?
How is Business Intelligence Health Check pricing calculated?
Does a BI health check certify compliance or platform security?
Can DataConsultant support remediation after the assessment?
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.