Power BI is the analytics layer of the Microsoft cloud. We design and build Power BI dashboards that executives actually use: clean, fast, role-aware, mobile-ready, and tied to the questions leadership actually asks. Connected to your D365, M365, Azure SQL, Fabric, or third-party data sources. Copilot for Power BI generates analysis narratives and Q&A in natural language.
Pre-built connectors for D365, M365, Azure SQL, Synapse, Dataverse, SharePoint, Excel, and 200+ SaaS apps. Custom connectors for proprietary APIs. Scheduled refresh, incremental refresh for large datasets, real-time streaming for operational dashboards.
Star schema design, calculated columns, DAX measures, role-based row-level security. Reusable semantic models so multiple reports share one source of truth instead of conflicting definitions.
Executive dashboards (visual, fast, drill-down). Operational reports (detailed, filterable, exportable). Mobile-first layouts where leadership consumes on phones. Custom branding aligned to your design language.
Natural-language Q&A: ask "What were our top 5 customers by revenue last quarter?" and get an instant answer. Narrative summaries: Copilot writes the executive summary of the dashboard. AI-assisted DAX authoring for analysts.
Row-level security (RLS) enforced consistently across reports. Sensitivity labels via Microsoft Purview. Workspace governance, certification, and endorsement. Audit logs for who-saw-what.
Power BI on Fabric capacity for unified data estate (OneLake, Synapse, Data Factory, Real-Time Analytics, Data Science). Right answer when Power BI is the front-end of a broader data platform rather than a standalone tool.
We start with the business question your leadership asks. Dashboard design follows the question, not the data. The result: dashboards executives actually open instead of decorative wallpaper.
Most UAE Power BI projects connect to D365 or M365 data. We are Microsoft Cloud Solution Provider; we know the underlying data models, the right way to extract them, and the gotchas around real-time vs delta refresh.
We invest in proper semantic models (Dataverse, Power BI dataset, or Fabric lakehouse) so future reports share definitions. One source of truth instead of dozens of conflicting reports built by different teams.
Copilot for Power BI only works on well-modelled data with descriptive table and column names. We build semantic models that Copilot can actually answer questions against. Most "Copilot disappointment" stories come from skipping this step.
Revenue, GP, AR aging, cash position, budget variance, by entity and consolidated.
Pipeline coverage, forecast accuracy, win-rate, cycle-length, rep activity.
Sales by store / category / hour, inventory turn, stock-out events, promotion lift.
Patient volume, wait times, clinician productivity, revenue per visit.
Overall Equipment Effectiveness, production yield, downtime, quality KPIs.
Application funnel, enrolment, attendance, student outcomes for KHDA reporting.
| Feature | Microsoft Power BI | Tableau | Looker / Looker Studio | Qlik Sense |
|---|---|---|---|---|
M365 native integration | Connectors | Connectors | Connectors | |
D365 native integration | Connectors | Connectors | Connectors | |
Embedded in Teams and Outlook | Limited | Limited | Limited | |
Copilot AI natural-language Q&A | Ask Data | Looker AI | Insight Advisor | |
Mobile apps quality | Strong | Strong | Adequate | Strong |
Pricing per user | Lowest of the four | Highest | Mid | Mid-High |
Enterprise scale (Premium / Fabric) | ||||
Citizen-developer accessible | Less so | Less so | Less so | |
UAE Azure data residency | Variable | Variable | Variable |
1 week
Workshops with executive consumers: what decisions do you make, what questions inform them, what data do you currently use, what would you want to see daily / weekly / monthly. Output: written list of executive questions in priority order.
1-2 weeks
Identify source systems for each question, build semantic model in Power BI or Dataverse, set up scheduled refresh, apply row-level security where appropriate, certify the semantic model.
2-3 weeks
Build dashboards against the prioritised questions. Iterative review with executive consumers. Mobile layouts tested. Copilot for Power BI enabled where the semantic model supports it.
1 week plus ongoing
Rollout to leadership team. Adoption tracked via Power BI usage metrics. Monthly review for first three months: which dashboards get used, which questions are still unanswered. CoE governance ensures the landscape stays clean.
“We had been building Excel-based board packs manually every month, taking the finance team 3 days each cycle. We rebuilt the entire pack as a Power BI dashboard set in 6 weeks. The 3 days a month came back to the finance team. The dashboards refresh nightly so leadership now monitors the business daily, not monthly. Our CEO opens it on his phone before morning coffee.”
A 30-minute scoping call covers the executive questions you want answered, current data sources, target consumers. Output: written proposal for a 4-8 week first-dashboard engagement.
Explore more solutions that work great with this service