Implementation Planning & Architecture
Scope definition, source data discovery, gateway cluster architecture, stakeholder mapping, and staged delivery sequencing tailored to your technical environment.
National Power BI service
Ultron helps Australian mid-market and enterprise organisations implement Power BI from data source engineering and dimensional star-schema modeling through high-speed semantic layers, governed workspace deployment, and user adoption. We turn fragmented spreadsheet reporting and disconnected transactional databases into certified, single-source-of-truth business intelligence solutions built for long-term scalability.
Engineering Framework
Many Australian organisations attempt Power BI rollouts by importing flat, transactional tables directly from ERPs, CRM databases, or shared network spreadsheets. While initial charts appear quickly, these ad-hoc models rapidly degrade as data volumes expand: dashboard load times balloon, calculation definitions conflict across business units, and memory exhaustion triggers frequent refresh timeouts.
Ultron Developments engineers Power BI implementations on formal Kimball dimensional modeling principles. By decoupling raw transactional storage from pure star-schema semantic layers (fact tables surrounded by conformed dimension tables), we ensure rapid sub-second visual rendering, clean single-direction relationship propagation, and query folding across underlying data platforms like Microsoft Fabric OneLake, Azure SQL, and Snowflake.
We eliminate complex bidirectional relationships and snowflake chains. Centralized DAX calculation groups handle time intelligence (YTD, QTD, YoY variance) dynamically across all metrics, minimizing model maintenance and reducing measure duplication by up to 80%.
Where multi-million row datasets require real-time velocity, we configure Microsoft Fabric Direct Lake mode on Delta Parquet files in OneLake. Reports query data directly without scheduled import overhead while matching in-memory VertiPaq speeds.
Security is enforced at the data layer. We configure Dynamic Row-Level Security (RLS) linked to Microsoft Entra ID security groups, apply Microsoft Purview sensitivity labels, and ensure full compliance with APRA CPS 234 and the Australian Privacy Act.
Delivery Roadmap
Our structured 5-stage implementation lifecycle ensures data integrity, performant VertiPaq compression, enterprise security, and automated continuous deployment.
| Implementation Phase | Core Engineering Objectives | Deliverables & Artifacts | Australian Governance & Standards |
|---|---|---|---|
| 1. Discovery & Source Ingestion | Audit source schemas across ERP, CRM, and SQL systems; establish data pipelines and cluster on-prem gateways. | Architecture blueprint, source-to-target data mapping, gateway cluster topology. | Essential Eight host hardening on gateway servers, zero inbound firewall traversal. |
| 2. Dimensional Modeling & DAX | Construct Kimball star-schema semantic layers, engineer conformed dimensions, write robust DAX calculation groups. | Certified golden semantic model (.pbip), calculation group definitions, DAX performance log. | Data consistency validation against Australian statutory accounting and general ledger registers. |
| 3. Report UX/UI & Dashboards | Design cognitive visual hierarchies, drill-through journeys, mobile-responsive layouts, and interactive KPI scorecards. | Production executive dashboards, operational drill-through packs, mobile phone layouts. | WCAG 2.2 AA accessibility verification, high-contrast palette compliance. |
| 4. Enterprise Security & Purview | Implement dynamic Row-Level Security (RLS) and Object-Level Security (OLS) tied to Microsoft Entra ID groups. | Security test verification matrix, Purview sensitivity label policies, tenant audit log pipeline. | APRA CPS 234 / CPG 235 compliance, Australian Privacy Principles (APP 11) data protection. |
| 5. ALM Pipelines & Enablement | Configure DEV/UAT/PROD deployment pipelines, git integration, automated testing, and train internal champions. | Automated deployment pipelines, authoring governance runbook, champion training workshops. | Change management documentation, disaster recovery and capacity monitoring SLAs. |
Scope
Scope definition, source data discovery, gateway cluster architecture, stakeholder mapping, and staged delivery sequencing tailored to your technical environment.
Kimball star-schema models, high-performance DAX measures, time-intelligence calculation groups, incremental refresh policies, and certified dataset publishing.
Separation of development and production workspaces, Power BI App audiences, dynamic RLS/OLS, Entra ID access controls, and Microsoft Purview labeling.
Automated deployment pipelines, Git integration, author handover documentation, executive training sessions, and continuous support backlog planning.
Use cases
The right scope depends on your current reporting estate, stakeholders, source data and support model.
Delivery
Review current reports, data sources, audiences, access needs, and network connectivity constraints.
Define dimensional star schemas, gateway high-availability topology, DAX patterns, and deployment pipelines.
Engineer semantic models, develop reports, configure dynamic RLS, and validate against source ledgers.
Train internal analysts and report owners, document support routines, and establish Centre of Excellence standards.
Related services
Share the reporting problem, source systems and audience. We will recommend a focused path for this service and whether a broader implementation or governance engagement is needed.
FAQs
An enterprise Power BI implementation goes beyond surface-level visual dashboards. It establishes a robust data layer built on Kimball star-schema dimensional models, automated data ingestion pipelines (via Azure Data Factory, Synapse, or Microsoft Fabric OneLake), high-availability gateway clusters, and centralized DAX calculation groups. It enforces Row-Level Security (RLS) linked to Microsoft Entra ID security groups, automates lifecycle deployment across DEV/UAT/PROD workspaces, and complies with Australian data governance standards including Essential Eight and APRA CPG 235.
For organisations running on-premises SQL Server, ERP systems, or private cloud databases, we architect high-availability On-premises Data Gateway (OPDG) clusters. We configure gateway machine clustering with automated load balancing and failover, optimize outbound port configurations to ensure zero inbound firewall traversal, implement Azure VNet data gateways where private endpoints are mandated, and harden gateway hosts in accordance with Australian Cyber Security Centre (ACSC) Essential Eight guidance.
Yes. Most Australian mid-market organisations experience 'Excel sprawl' with conflicting spreadsheet definitions. We conduct a structured reporting audit to inventory existing workbooks, reconcile calculation logic, and migrate underlying data into standardized dimensional semantic models. This eliminates manual copy-pasting, ensures a single verified source of truth across operational divisions, and retains full drill-down analysis capabilities.
We design workspace hierarchies separating data staging, semantic modeling, and report presentation. We evaluate your licensing posture across Power BI Pro, Premium Per User (PPU), and Microsoft Fabric Capacity (F-SKUs) to maximize cost efficiency. Through Power BI Apps and Entra ID security groups, we ensure end-users only receive read-only access to published dashboards while developers and analysts collaborate within governed deployment pipelines.
Australian delivery proof
Review approved Australian client stories across Power Apps, Power BI, Dataverse, healthcare, mining and manufacturing.