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An interactive Power BI dashboard providing insights into property management performance, tenant distribution, and rental trends across New Zealand regions.

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🏘️ Housing & Tenancy Management Analytics Dashboard (Power BI)


📌 Executive Summary

This project presents a Housing & Tenancy Management Analytics Dashboard, analysing a residential housing portfolio comprising ~10,000 tenants across 499 properties, with 3,248 active tenancies,indicating strong utilisation and occupancy across the portfolio. Only 4 tenancies are ending soon, suggesting short-term stability and low immediate vacancy risk.

The dashboard enables housing, finance, and operational stakeholders to understand tenancy utilisation, rental income performance, regional contribution, tenant demographics, transaction activity, and short-term vacancy risk through a single, integrated reporting view.Financial analysis shows that Bay of Plenty and Otagoare the strongest contributors to total rental income, while regions such as Canterbury and Auckland contribute comparatively less, highlighting potential opportunities for optimisation or targeted growth strategies.

The analysis highlights strong portfolio stability, balanced tenant demographics, concentration of rental income in specific regions, and efficient transaction processing, while enabling seamless drill-down from high-level trends to individual financial transactions for transparency and auditability.


📊 Project Overview

This Power BI solution provides an end-to-end analytical view of housing and tenancy operations, integrating operational, financial, and compliance data into a unified semantic model.

The dashboard allows users to dynamically analyse performance by:

  • Region
  • Property
  • Tenancy status (Active, Closed, Pending)
  • Transaction type (Rent, Bond, Maintenance, Utilities, Administration)
  • Time (Month–Year)

The analysis focuses on five core operational areas:

  • Portfolio utilisation and tenancy stability
  • Tenant demographics and household composition
  • Regional rental income performance
  • Monthly rent trends and revenue monitoring
  • Transaction processing health and drill-through analysis

🧱 Data Structure Overview

The data model follows best-practice analytical design, optimised for both summary reporting and transaction-level investigation.

Fact Tables

  • Tenancy transactions (Rent, Bond, Maintenance, Utilities, Administration)
  • Tenancy lifecycle and status records

Dimension Tables

  • Property (Property Name, Region)
  • Tenant (Gender, Household Size)
  • Date (Year, Month)
  • Transaction Type
  • Tenancy Status

This structure enables fast aggregation, consistent KPI calculations, and intuitive drill-through from portfolio-level metrics to individual records.


📈 Key KPIs Tracked

  • Total Tenants: ~10,000
  • Total Properties: 499
  • Active Tenancies: 3,248
  • Tenancies Ending Soon: 4
  • Total Compliance Records: 100
  • Top Revenue Regions: Bay of Plenty, Otago
  • Transaction Status Split: Balanced (Active / Pending / Closed)

🔍 Business Insights

1️⃣ Strong portfolio stability with low vacancy risk

The portfolio shows high utilisation, with a large number of active tenancies and only 4 tenancies ending soon, indicating strong short-term stability and minimal immediate vacancy risk. A balanced mix of active, closed, and pending tenancies across properties indicates healthy operational turnover rather than systemic issues at specific sites.


2️⃣ Balanced tenant demographics improve resilience

Tenant gender distribution is evenly spread, and household size analysis shows demand across multiple household types rather than reliance on a single segment.
This balance reduces demographic concentration risk and supports long-term portfolio resilience.


3️⃣ Rental income is concentrated in specific regions

Bay of Plenty and Otago are the strongest contributors to total rental income, while regions such as Canterbury and Auckland contribute comparatively less.
This highlights where revenue strength is concentrated and where targeted optimisation or growth strategies may be required.


4️⃣ Monthly rent trends enable proactive financial monitoring

The Rent by Month–Year trend provides a clear temporal view of income patterns, allowing stakeholders to quickly detect fluctuations or potential revenue dips and take corrective action early.


5️⃣ Efficient transaction processing with strong drill-through design

A balanced mix of transaction statuses (Active, Pending, Closed) suggests efficient operational workflows rather than processing backlogs.
Drill-through functionality allows users to move directly from summary views to individual transaction records, improving transparency, traceability, and audit readiness. image image


🧠 Key Takeaways

  • The portfolio demonstrates high occupancy stability with minimal short-term vacancy risk
  • Tenant demographics and household sizes are well balanced, supporting demand resilience
  • Rental income is regionally concentrated, particularly in Bay of Plenty and Otago
  • Monthly trend analysis supports early detection of income changes
  • Drill-through reporting enhances operational transparency and accountability

💡 Recommendations

  1. Prioritise high-performing regions
    Maintain and strengthen asset management strategies in Bay of Plenty and Otago, while reviewing opportunities to improve performance in lower-contributing regions.

  2. Use monthly rent trends as an early-warning signal
    Incorporate rent trend monitoring into routine financial reviews to proactively manage revenue volatility.

  3. Leverage drill-through for operational oversight
    Continue using transaction-level drill-through to support audits, exception handling, and operational investigations.

  4. Monitor tenancy turnover at property level
    Identify properties with higher churn to assess maintenance, location, or service-delivery factors affecting tenancy stability.


🛠 Tools & Skills Used

  • Power BI – Interactive dashboards, KPI tracking, drill-through reporting
  • SQL – Data preparation, validation, and transformation
  • Dimensional Data Modelling – Fact and dimension tables
  • Business Analytics – Housing operations, financial monitoring, compliance reporting

👥 Teams Benefited

  • Housing & Property Management Teams – Portfolio utilisation and tenancy stability
  • Finance Teams – Rental income monitoring and transaction oversight
  • Operations Teams – Tenancy lifecycle and workflow efficiency
  • Compliance & Audit Teams – Transparent, transaction-level traceability
  • Senior Leadership – High-level, decision-ready portfolio insights

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An interactive Power BI dashboard providing insights into property management performance, tenant distribution, and rental trends across New Zealand regions.

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