Case Study
Modernizing Real Estate Analytics with Data Governance & Power BI
Solution
Data Governance & Privacy, Data Engineering
& Analytics, BI & Reporting
Industry
Real Estate
Core Technology
Azure, ADF, Purview, Power BI, AWS, Python, SQL
Overview
A real estate organization with a growing rental portfolio was asking its data to do more than report the past. Leadership needed reliable, business-ready analytics for leasing, property management, and finance—without the familiar drag of mismatched records, inconsistent definitions, and dashboards that were difficult to trust or scale.
Xavor partnered with the client to deliver rental, leasing, property operations, and finance (CPM) analytics—underpinned by data engineering solutions that ensured governance and quality.
Business Challenge
The client’s analytics ambitions were constrained by a set of problems that compounded over time. Key entities—especially customer records—did not align cleanly between systems, making reporting brittle and reconciliation labor-intensive. Furthermore, business teams lacked a clear way to see where data was failing, how often, and what “good” should look like.
The urgency was not abstract: when operational teams cannot rely on dashboards, they revert to spreadsheets and local workarounds, slowing decisions and quietly increasing risk. Sales, leasing, and property management teams required KPIs and segmentation insights, while finance needed performance tracking and variance analysis—yet reporting depended on fragile pipelines that created significant migration risk during data source transitions.
the solution
Xavor delivered a combined program spanning data governance, data quality engineering, and analytics delivery, designed to improve trust in the underlying data while steadily expanding business value.
The strategy was built on five pillars:
Data Governance with Microsoft Purview
We designed and implemented data quality rules within Purview to standardize expectations for critical datasets.
Automated Quality Scans
We executed data quality scans using queries on AWS Athena, collaborating with client teams to resolve root causes and align on data standards.
Cross-platform Data Linkage
To bridge separate platforms, we built a pipeline using Python-based fuzzy matching to connect customer data, reducing ambiguity in identity and improving downstream behavioral analysis.
Specialized Property Analytics
We built data models to support multi-property real estate analytics (rentals, segmentation, survey and location-based performance) and delivered a suite of Power BI dashboards tailored to real estate workflows—covering customer segmentation to support retention, survey analytics for property feedback, and location-based analyses to compare performance across markets.
Financial & CPM Reporting
We implemented financial performance tracking dashboards with variance analysis, comparing budgeted vs. actual performance to enable faster course correction.
This solution was the best fit because it provided both control and momentum—governance that reduced long-term risk and a sprint-based, iterative prototype model that produced visible wins for stakeholders quickly.
outcomes & benefits
After implementation, the client achieved meaningful, business-facing improvements without sacrificing maintainability:
Standardized Foundations
Defined rules and repeatable quality scans created a more reliable data environment.
Credible Segmentation
Improved customer-level analysis via fuzzy matching enabled more sophisticated behavioral insights.
Predictable Financial Visibility
CPM-oriented dashboards provided the finance team with audit-ready variance analysis.
Executive Accessibility
Power BI integration enabled leadership to query data conversationally, supporting faster insight access in existing workflows.
Operational Transparency
A data quality dashboard now provides business stakeholders with clear signals regarding data health.
Seamless Migration
Existing Power BI reports were moved across data sources with minimal disruption to daily operations.
Tools & tech stack
conclusion
This engagement demonstrated that for real estate operators, analytics maturity is fundamentally a data quality and governance problem. By pairing Purview-led quality standards with pragmatic Power BI delivery and cross-platform customer linkage, Xavor helped the client move from fragmented reporting toward a more trusted, scalable analytics capability—one that supports both day-to-day property decisions and higher-level financial performance management.
If your team is struggling with data quality, dashboard trust, or analytics that cannot keep pace with the business, Xavor can help you modernize with a practical, engineering-led approach. Reach out for a personalized consultation, or visit www.xavor.com to learn more about how we build reliable data platforms and decision-ready analytics.
Make sense of messy business data with data governance and analytics
If you’re enterprise data is all over the place, we can help you bring order with data governance and analytics.