Power BI Services

Most companies don’t come looking for Power BI because they want dashboards.

They come because reporting has started breaking down.

Numbers don’t match across teams. Sales reports look different from finance reports. Leadership reviews three versions of performance before making one decision.

At that point, the problem isn’t data volume — it’s reporting structure.

Power BI works well when it’s implemented as a decision layer, not just a visualization tool. That’s the gap we usually step into.

Where Things Typically Go Wrong

By the time we’re brought in, reporting usually looks like this behind the scenes:

• Teams exporting data manually every week
• Excel sheets being treated as “final reports”
• Different departments calculating metrics differently
• Static dashboards that no one fully trusts
• Time lag between business activity and reporting visibility

Individually these feel manageable. Together they slow decision-making more than most leaders realize.

Who This Work Is Best Suited For

Power BI services make the most sense when reporting complexity has outgrown internal workarounds.

We commonly work with:

• Companies scaling beyond spreadsheet reporting
• Businesses running multiple operational systems
• Leadership teams needing consolidated performance visibility

Sales, finance, marketing, and operations teams usually see the fastest value because they depend on shared numbers but operate in separate tools.

How We Approach Power BI

We don’t start by asking what dashboards you want.

We start by asking what decisions you’re trying to make faster.

That shifts the entire implementation.

First we map KPIs and reporting dependencies. Then we trace data back to source systems. Only after validation do we design models and dashboards.

A typical delivery flow looks like:

• KPI and reporting requirement mapping
• Data source identification and audit
• Data modeling and structuring
• Dashboard development
• Accuracy validation with stakeholders
• Deployment and performance tuning

The focus stays on reporting reliability, not visual design alone.

What We Actually Build

The scope varies by organization, but most Power BI environments we develop include:

• Executive performance dashboards
• Sales pipeline and revenue tracking
• Marketing performance reporting
• Financial summaries and forecasts
• Operational and fulfillment analytics

Some clients need five dashboards. Others need fifty. The volume matters less than the logic underneath.

Data Integration Layer

Power BI only becomes valuable once data is unified.

We integrate reporting across systems like:

• Salesforce and other CRMs
• ERP and accounting platforms
• Marketing automation tools
• Customer support systems
• Excel repositories and legacy databases
• Custom internal applications

Data is cleaned and standardized before visualization — otherwise dashboards just surface existing inconsistencies faster.

Advanced Modeling & Calculations

As reporting maturity grows, so does analytical depth.

We implement advanced models supporting:

• Forecasting and trend projections
• Comparative period analysis
• Profitability and margin modeling
• Customer lifecycle analytics
• Custom KPI frameworks

This is where Power BI shifts from reporting tool to planning tool.

Operational Impact

Once reporting is centralized, the shift is noticeable — mostly operational, not visual.

Leadership stops reconciling numbers before meetings. Teams spend less time preparing reports and more time reviewing them. Forecast discussions rely on shared data instead of departmental sheets.

Accuracy improves. So does speed.

Engagement Models

Power BI work doesn’t always fit a single structure, so we support:

• One-time dashboard builds
• Full reporting transformations
• Managed reporting services
• Enhancement and optimization retainers

Some clients need an initial build. Others need long-term reporting ownership.

Timelines

Timelines depend heavily on data readiness.

Rough benchmarks:

Single dashboard environments — 2 to 4 weeksMulti-department reporting — 4 to 8 weeksEnterprise reporting ecosystems — 8 to 14 weeks

Clean data moves fast. Fragmented data takes longer — regardless of tool.

Security & Governance

Reporting environments often expose financial and operational data, so governance is built in early.

This includes:

• Role-based dashboard access
• Row-level data visibility
• Secure gateway configurations
• Compliance-aligned data handling

Access is structured around responsibility, not convenience.

Why Radix2Tech

Clients usually come to us after attempting internal reporting builds that didn’t scale.

They stay because we:

• Prioritize reporting accuracy over dashboard volume
• Understand business workflows behind the numbers
• Build models that hold up as data grows
• Communicate in operational terms, not BI jargon
• Provide post-deployment optimization

The goal isn’t prettier dashboards. It's a clearer decision.

FAQs

Can Power BI replace Excel reporting?In most cases, yes — especially where Excel is being used to consolidate multi-source data.

Do you provide ongoing reporting support?Yes. Many clients retain us to expand dashboards and maintain data models.

Can you work with legacy databases?Yes. We regularly structure reporting layers on top of older systems.