Common signs the Power BI environment needs attention
- Different reports show different numbers for the same KPI
- Many datasets contain overlapping business logic
- Reports are slow or refresh unreliably
- Teams publish directly into shared workspaces without clear standards
- Row-level security is inconsistent or difficult to maintain
- No one owns key semantic models or data sources
- Too many reports exist and users do not know which one to trust
- Manual Excel steps still sit behind supposedly automated dashboards
- Gateways, credentials, or refresh schedules are fragile
- The organisation wants to scale Power BI but is worried about control
What Datazeb can deliver
Power BI Environment Review
Assess workspaces, reports, semantic models, gateways, refresh, security, ownership, usage, and technical debt.
Governance Framework
Define practical rules for publishing, ownership, naming, access, certification, support, and change management.
Semantic Model Consolidation
Reduce duplicated datasets and create reusable, governed models for common business areas.
Performance Optimisation
Improve DAX, Power Query, model design, report interactions, refresh patterns, and data architecture.
Workspace & Access Design
Structure workspaces, roles, deployment paths, and row-level security around the organisation’s operating model.
Refresh & Gateway Reliability
Review gateway architecture, source connections, credentials, refresh scheduling, and failure monitoring.
Report Rationalisation
Identify duplicates, outdated reports, overlapping content, and opportunities to simplify the reporting estate.
Modernisation Roadmap
Create a prioritised plan for architecture, governance, migration, Fabric readiness, support, and future BI growth.
From scattered reports to a governed BI platform
- Current Estate
- Assess & Rationalise
- Shared Models
- Governed Delivery
- Trusted BI
Modernisation should remove unnecessary complexity while preserving useful reporting. The goal is a smaller number of trusted models, clearer ownership, predictable deployment, and a supportable operating model.
Power BI environment assessment
Start with evidence, not assumptions
A structured review can cover:
- Workspace structure
- Report inventory
- Semantic models / datasets
- Data sources
- Refresh schedules
- Gateways
- Credentials
- Security and RLS
- Usage patterns
- Performance issues
- Manual dependencies
- Ownership and support process
The outcome should be a prioritised improvement plan rather than a generic governance document.
Semantic model strategy
Reduce duplicated business logic
A mature BI environment should avoid rebuilding the same customer, product, finance, sales, or date logic in every report.
- Shared semantic models
- Consistent KPI calculations
- Common dimensions
- Certified / endorsed datasets where appropriate
- Reusable measures
- Clear ownership
- Version and change control
The objective is to create trusted reusable models without forcing every business question into one oversized dataset.
KPI consistency
One KPI should mean one thing
- Agreed business definition
- Calculation logic
- Authoritative source
- Metric owner
- Refresh frequency
- Historical restatement rule where needed
- Approved filters / exclusions
Governance becomes useful when it prevents different departments from publishing different answers to the same management question.
Workspace and content architecture
Datazeb can help design a practical workspace structure around:
- Business domains
- Development / test / production separation
- Central models
- Department reporting
- App distribution
- Ownership and support
- Deployment responsibilities
Security and row-level access
- Role-based access
- Row-level security
- Region / entity / department access
- App audiences where appropriate
- Workspace permissions
- Restricted sensitive reporting
Security should be designed around actual business access requirements rather than using separate copies of reports for every audience.
Performance optimisation
Slow Power BI is often an architecture problem, not a visual problem
Datazeb can review:
- Star-schema design
- Cardinality
- DAX measures
- Power Query transformations
- Query folding
- Import vs DirectQuery choices
- Model size
- Visual interaction load
- Source-system performance
Optimisation should focus on the full data path rather than only changing visuals.
Refresh and gateway reliability
- Gateway architecture
- Refresh scheduling
- Credential ownership
- Source timeouts
- Incremental refresh where appropriate
- Failure notifications
- Dependency sequencing
- Refresh monitoring
A dashboard that refreshes unpredictably is not a trusted business system, regardless of how good the design looks.
Report rationalisation
Not every report needs to survive
Datazeb can help classify reports into:
- Business-critical
- Useful but overlapping
- Outdated
- Duplicate
- Low usage
- Candidate for consolidation
- Candidate for retirement
Rationalisation reduces confusion and support effort while making the trusted reporting path clearer to users.
Self-service BI
Enable business users without losing control
A balanced model can include:
- Governed shared datasets
- Approved business measures
- Curated data domains
- Self-service report creation
- Training and standards
- Central support for high-value models
The goal is not central control over every chart. It is to make trusted data easier to reuse while keeping critical definitions stable.
Power BI administration
- Workspace ownership
- Access reviews
- Gateway support
- Refresh management
- Publishing standards
- App distribution
- Usage review
- Issue triage
For organisations without a large internal BI team, these responsibilities can be supported through Datazeb’s managed analytics model.
Microsoft Fabric readiness
Modernise because there is a business reason – not because the platform is new
Where relevant, Datazeb can assess whether Microsoft Fabric would improve the current architecture.
- Current Power BI estate
- Data engineering requirements
- Warehouse / lakehouse needs
- Refresh and scale constraints
- Governance requirements
- Skill availability
- Cost and operating model
Excel-to-Power BI modernisation
Some environments use Power BI at the front end while critical logic still lives in manually updated Excel files.
- Identify recurring Excel dependencies
- Move stable transformations upstream
- Standardise mappings
- Automate ingestion
- Retain Excel where it remains the right tool
- Reduce hidden manual steps
The objective is not to eliminate Excel. It is to remove fragile spreadsheet dependencies from business-critical reporting.
Governance operating model
Define who owns what
- Business KPI owner
- Semantic-model owner
- Report owner
- Data-source owner
- Workspace administrator
- Support responsibility
- Change approval
- Escalation path
Clear ownership often improves reliability more than another layer of technical tooling.
Adoption and training
- Power BI author standards
- Report design guidance
- Dataset reuse
- DAX / modelling good practice
- Publishing process
- End-user navigation
- Internal champions
Training should reinforce the governance model so people understand how to use the environment correctly rather than work around it.
Existing environment takeover
Datazeb can stabilise a Power BI environment built by someone else
A takeover engagement may include:
- Environment inventory
- Credential and gateway review
- Report / model documentation
- Issue prioritisation
- Critical refresh stabilisation
- Performance fixes
- Ownership transfer
- Ongoing support
This is valuable when an internal employee, freelancer, or previous vendor leaves behind a reporting environment that nobody fully understands.
Why Datazeb for Power BI governance
- Power BI expertise combined with data engineering
- Strong semantic modelling, DAX, Power Query, gateway, and integration capability
- Governance designed around how the organisation actually works
- Ability to improve existing environments rather than always rebuilding
- Managed support available after modernisation
- Training capability to support adoption
- Senior-led global delivery
Engagement options
- Power BI health check
- Governance assessment
- Performance optimisation
- Semantic-model consolidation
- Workspace / security redesign
- Report rationalisation
- Fabric readiness assessment
- Managed Power BI support
How we work
- Assess
Review the Power BI estate, architecture, users, reports, models, refresh, security, ownership, and support process. - Prioritise
Identify the highest-risk and highest-value improvements rather than attempting to fix everything at once. - Design
Define the target workspace structure, semantic-model strategy, governance rules, security, deployment, and ownership model. - Modernise
Consolidate models, improve performance, stabilise refresh, rationalise reports, and implement practical governance. - Support & Adopt
Document the environment, train relevant users, monitor issues, and provide ongoing analytics support where required.
Frequently asked questions
Do we need to rebuild all our Power BI reports?
Usually not. A review can identify what should be retained, optimised, consolidated, or retired. Modernisation should preserve useful work where practical.
Can you fix slow Power BI reports?
Yes. Datazeb can review model design, DAX, Power Query, source queries, refresh architecture, and report interactions to identify performance bottlenecks.
Can you help with governance without creating too much bureaucracy?
Yes. The governance model should be proportionate to the organisation’s size, risk, team structure, and BI maturity.
Can you improve row-level security and workspace access?
Yes. Datazeb can review and redesign access models around approved business requirements.
Can you take over an existing Power BI environment?
Yes. Datazeb can assess, document, stabilise, and support environments originally built internally or by another provider.
Can you assess Microsoft Fabric?
Yes. Fabric can be assessed against the current architecture, data-engineering needs, governance, cost, and operating model rather than treated as an automatic migration target.