Power BI Reporting & Dashboards
Semantic models, executive dashboards, and self-service reporting built on governed data.
View full serviceWe design and implement Microsoft Fabric data platforms for Johannesburg and Gauteng enterprises: OneLake lakehouse architecture, migration from legacy SQL estates, and capacity sizing that respects a ZAR budget. POPIA-aligned from the first workshop, senior consultants throughout.
End-to-end Microsoft data consulting: from a single executive dashboard to a full Microsoft Fabric platform implementation.
Semantic models, executive dashboards, and self-service reporting built on governed data.
View full serviceOneLake, lakehouse architecture, pipelines, and migration from legacy platforms to Fabric.
View full serviceMicrosoft Purview, workspace security, sensitivity labels, and enterprise governance frameworks.
View full servicePractical, role-based training that leaves your team able to build and maintain their own reporting.
View full serviceJohannesburg's corporates run some of the biggest legacy data estates in Africa: on-premise SQL Server warehouses, ageing SSIS pipelines, SSAS cubes, and BI environments that have grown by acquisition. Moving that to a modern platform is less about the destination and more about the sequencing.
That is our core work. We design the Fabric target architecture - workspace topology, OneLake structure, medallion lakehouse layers - then migrate workloads in phases that never leave the business without its reporting. Data residency lands in Azure South Africa North, which keeps POPIA conversations short.
Capacity sizing gets special attention here: F-SKU costs are USD-denominated while budgets are ZAR, so we size from measured workloads rather than guesswork, and model reservation savings before you commit.
Regulated lakehouse platforms with lineage, RLS and audit-ready governance.
Plant, fleet and sensor data engineered into one operational platform.
High-volume subscriber and revenue data on scalable Fabric capacity.
Group-wide consolidation across subsidiaries, ERPs and reporting lines.
South African-founded and ZAR-invoiced. No exchange-rate exposure, no offshore day rates.
Data classification, access control, and Purview governance are designed in from day one - not retrofitted for the audit.
Remote-first for pace and cost, with on-site workshops, delivery, and training in Johannesburg whenever being in the room helps.
Fabric, Power BI, Purview, and Copilot are all we do. Depth over breadth.
Fixed-bid projects, staff augmentation, or Data Insights as a Service - pick the commercial structure that suits.
The people who scope your project are the people who build it.
Budgeting a project? Our Power BI cost guide and Fabric implementation cost guide break down typical ZAR budgets by project size.
Quick answers about Microsoft data consulting in Johannesburg.
Yes - Fabric implementation is our core service. We design the architecture, build the OneLake lakehouse and pipelines, migrate legacy workloads, and hand over a platform your team can run. Delivery is remote-first with on-site workshops in Johannesburg where the engagement benefits.
It depends on estate complexity: a foundational implementation is a phased programme measured in weeks, a full legacy migration in months. Our South Africa Fabric cost guide on this site breaks down typical ZAR budgets, including capacity costs by F-SKU.
Yes - legacy SQL Server, SSIS and SSAS migrations are the most common Johannesburg engagement we run. We sequence migration so downstream reports keep working throughout, and validate each phase against the legacy outputs before cutover.
Fabric capacity for South African clients is typically provisioned in the Azure South Africa North region (Johannesburg), which keeps data in-country and simplifies POPIA compliance. Residency is confirmed as part of architecture design.
We start on pay-as-you-go, measure real workloads for a few weeks with the Capacity Metrics app, then recommend the SKU and reservation strategy the data supports. Because F-SKU pricing is USD-based, we model exchange-rate headroom into the recommendation.
Book a 30-minute call with our team. We will discuss your current data estate, the outcomes you are looking for, and whether Solv Systems is the right fit. No sales pitch, no obligation.