Real Estate (CRM) — Business Visibility Dashboard Suite
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Real Estate (CRM) — Business Visibility Dashboard Suite

🏢Industry

Real Estate

👤My Role

Power BI Developer

🛠️Tools & Platforms

Power BI Desktop, Power BI Service, Power Query (M), DAX, Figma

🔗Data Sources

Dataverse (CRM)

🖼️ Project Gallery

Real Estate (CRM) — Business Visibility Dashboard Suite — image 1
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💬

30-Second Pitch

The CRM data was technically there but nobody trusted it. I cleaned it at the source with Power Query, then built role-secured dashboards so a regional manager and a director both open the same suite and see exactly what they're supposed to.

📍

The Situation

Two real estate teams had CRM data sitting in Dataverse, but sales and operations leadership didn't trust it. Numbers shifted between reports, and nobody could say with confidence which version was correct.

🎯

The Challenge

The root cause wasn't a visualisation problem — it was a data-quality problem upstream in the CRM. Any dashboard built on top of dirty data would just be a better-looking version of the same wrong numbers, so the real challenge was fixing trust in the data itself before presenting it.

🛠️

My Approach

1

I treated this as an ETL-first project rather than a visuals-first one — clean the data at the source, then build the dashboards on top of something solid.

2

Profiled the raw Dataverse CRM data to identify exactly where and why numbers were breaking, then built a full Power Query layer to clean and reshape it before it ever reached a report.

3

Built dashboards tracking pipeline health, property performance, and team productivity — informed by, not fighting against, the underlying data.

4

Set up scheduled refresh in Power BI Service so the dashboards stayed current automatically, removing manual update effort entirely.

5

Applied Row-Level Security so regional managers see only their own market's data while directors retain full cross-region visibility — one suite, correctly scoped per audience.

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Result & Impact

Eliminated the specific, recurring reporting errors that were being inherited from upstream CRM data quality issues.

Restored leadership's trust in the numbers — the dashboards became the reference point instead of one of several conflicting reports.

Removed manual refresh effort through a fully scheduled Power BI Service pipeline.

Delivered correct, role-based visibility for both regional managers and directors from a single suite.

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Skills This Proves

Data profiling and ETL via Power Querydiagnosing data-quality issues at the sourcedashboard design for mixed executive audiencesRow-Level SecurityPower BI Service deployment and scheduled refresh.

🛠️ Tools & Platforms

Power BI DesktopPower BI ServicePower Query (M)DAXFigma

🔗 Data Sources

Dataverse (CRM)

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