Building scalable financial reporting with Power BI & Microsoft Fabric | Webinar takeaways

Automated reporting is not about producing numbers faster, it’s about enabling better decisions. Yet many organizations still struggle with:

• Manual Excel corrections during closing
• Slow closing cycles and delayed insights
• Multiple versions of the truth
• Limited drill‑down capabilities
• Reactive reporting, often 30–45 days behind reality

This leads to a familiar pattern: too much time spent producing and defending numbers, and not enough time spent acting on them.

TriFinance’s vision focuses on shifting from reporting numbers to driving decisions, supported by:

• Automated data flows from ERP to reporting
• A single source of truth
• Full traceability from KPI to transaction
• Scenario planning and forecasting
• AI‑driven insights

As highlighted during the webinar, reporting rarely fails because of tools. It fails because of fundamentals:

• Inconsistent definitions (e.g., FTE, cost allocations)
• Poor data quality
• Complex manual processes
• Lack of ownership and governance

The result? Endless reconciliations, debates about numbers, and limited accountability.

TriFinance proposes a clear, structured approach to move from the As‑Is to a scalable To‑Be setup.

A successful reporting model requires alignment across the entire data chain:

1. Source Systems (ERP, CRM, …)

Data must be structured, complete, and posted with the right dimensions. A well‑designed ERP is the foundation of reliable reporting.

2. Processes & Governance

Clear closing processes, validation steps, deadlines, and KPI ownership ensure consistency and control.

3. Unified Data Platform (Microsoft Fabric)

A centralized platform integrates all data, supports scalability, and enables near real‑time refreshes.

4. Semantic Model

This is where KPIs, shared dimensions, and business logic are defined — your single version of the truth.

5. Reporting & Analytics (Power BI)

Dynamic insights, drill‑downs, and decision‑support dashboards turn data into action.

This flow is the backbone of a scalable reporting framework.

During the webinar, Jonas demonstrated how to build a dynamic P&L using standard Power BI functionality, while Evert showcased a more advanced approach using Aimplan, a Swedish planning & reporting solution embedded in Power BI.

Option 1: standard Power BI

Pros:

• No additional license cost
• Fully native

Cons:

• Complex to set up
• Limited flexibility for subtotals, hierarchies, percentages, and formatting

Option 2: Aimplan (Custom Visuals)

Pros:

• Extremely flexible P&L layouts
• Easy to maintain
• Built‑in planning, write‑back, comments, and workflow
• Seamless integration with Fabric (OneLake replication)

Cons:

• Recurring license fee for all users

Aimplan uses 70% of the existing Power BI environment and adds 30% of its own capabilities, making it a powerful extension for finance teams that need more than standard visuals can offer.

1. Multiple ways to build a P&L in Power BI
   You can use standard Power BI or custom visuals like Aimplan — the right choice depends on your complexity and governance needs.
2. Reporting problems are rarely tool problems
   They stem from definitions, processes, ownership, and data quality.
3. A unified data platform is essential
   Microsoft Fabric enables scalable, automated, near real‑time reporting.
4. A good ERP setup is non‑negotiable
   If your source data is broken, your reporting will be too.
5. Governance is the glue
   Clear definitions, ownership, and processes ensure long‑term success.

If you want to dive deeper into any of these topics, you can explore:

• Power BI best practices
• Microsoft Fabric architecture
• Dynamic P&L modelling
• Aimplan capabilities

A good next step would be to clarify your current reporting maturity so we can map your As‑Is to a scalable To‑Be setup.