Accelerating Build Timelines with Data: Montgomery Homes Timeframes Dashboard

Industry: Residential Construction

Solution Area: Project Delivery Performance

Client: Montgomery Homes (NSW, Australia)

Tools Used: ClickHome, Microsoft SQL Server, Power BI

• 50% Faster Delay Detection: Enhancing Construction Efficiency

  Median vs. actual comparisons helped supervisors identify stage-level bottlenecks early.

  
  

• Regional Benchmarking for Improved Accountability

  Cross-region (Sydney, Central, Newcastle) visibility improved scheduling accountability.

  
  

• Data-Driven Planning for Effective Resource Allocation

  Leadership used historical build trends to forecast workloads and allocate trades effectively.

  
  

The Challenge: Navigating Complex Data in Construction

Montgomery Homes managed hundreds of active construction projects across NSW using the ClickHome platform. While ClickHome captured detailed progress, contract, and milestone data, consolidating this information into a unified analytical view proved challenging. Leadership lacked visibility to answer critical questions:

• How long are builds taking from Commencement → PP5?

• Which supervisors or regions are performing above or below the median timeframe?

• Do higher contract values lead to longer delivery durations?

  
  

Fragmented data limited transparency. This made it difficult to plan resources, monitor progress, or set realistic delivery expectations.

Our Solution: The Timeframes Analysis Dashboard

To address these challenges, GrowthBI designed the Timeframes Analysis Dashboard. This tool integrates ClickHome’s project data into Microsoft SQL Server and visualizes key insights in Power BI. The solution measures build efficiency across projects, stages, and supervisors, creating a single source of truth for operational performance.

Key Features of the Dashboard

• Stage-Wise Duration Analysis: Tracks average and median weeks between milestones (Commencement → PP5).

• Regional & Supervisor Comparison: Enables benchmarking across Sydney, Central, and Newcastle.

• Contract Value Correlation: Scatterplots reveal how contract value impacts completion time.

• Supervisor Leaderboard: Ranks supervisors by build efficiency to promote accountability.

• Interactive Filters: Drill-down by job series (Single, Double, Downhill) and view individual contract details.

  
  

Dashboard Walkthrough: Understanding Key Insights

1. Median vs Actual Duration by Stage

This feature visualizes each milestone (Commencement → PP1 → PP5) with median and actual build durations. It helps identify where delays frequently occur.

2. Regional & Supervisor Comparison

This section compares performance across Sydney, Central, and Newcastle regions. Supervisors can see how their build durations rank against regional medians.

3. Contract Value vs Time to Completion (Scatterplot)

This plot displays each job by contract value and total build weeks. It reveals whether higher-value contracts correspond with longer timelines.

4. Supervisor Leaderboard

This feature ranks supervisors by average build duration, highlighting top performers and areas requiring support.

5. Job Series Filters (Single, Double, Downhill)

This allows users to segment performance by house type, with drill-through to individual contract details for deeper analysis.

Technical Architecture & Process: Streamlining Data Flow

Data Flow Overview

The data flows from ClickHome to Microsoft SQL Server (ETL & logic) and then to Power BI for visualization.

SQL Example

SELECT 
  job_number,
  DATEDIFF(WEEK, commencement_date, pp1_date) AS weeks_to_pp1,
  DATEDIFF(WEEK, pp1_date, pp2_date) AS weeks_pp1_pp2,
  DATEDIFF(WEEK, pp2_date, pp3_date) AS weeks_pp2_pp3,
  DATEDIFF(WEEK, pp3_date, pp4_date) AS weeks_pp3_pp4,
  DATEDIFF(WEEK, pp4_date, pp5_date) AS weeks_pp4_pp5
FROM clickhome_projects;

Power BI Measures

MedianWeeks = MEDIAN('Projects'[WeeksToCompletion])
Variance = [ActualWeeks] - [MedianWeeks]
SupervisorRank = RANKX(ALL('Supervisor'[Name]), [MedianWeeks], , ASC)

Outcome: Transforming Data into Actionable Insights

The Timeframes Dashboard consolidated multiple ClickHome datasets into one unified analytical model—transforming raw data into actionable insights.

Key Outcomes

• Transparency: Leadership gained real-time visibility into build timelines.

• Efficiency: Supervisors identified consistent delay points by stage.

• Forecasting: Historical patterns now guide realistic timeframe targets and capacity planning.

  
  

This integration empowered Montgomery Homes to manage delivery performance proactively. It drove operational efficiency and improved build predictability across all regions.

Conclusion: The Future of Construction Management

In conclusion, the implementation of the Timeframes Analysis Dashboard has revolutionized how Montgomery Homes operates. By leveraging advanced data analytics, the company can now make informed decisions that enhance project delivery performance. This proactive approach not only improves efficiency but also fosters a culture of accountability among supervisors.

The insights gained from this dashboard will continue to shape the future of construction management at Montgomery Homes. They ensure that the company remains at the forefront of the industry.

For more information on how data analytics can transform your construction projects, visit Montgomery Homes.

The Importance of Data in Modern Construction

Data plays a crucial role in modern construction management. The ability to analyze and interpret data effectively can lead to significant improvements in project outcomes. With tools like the Timeframes Analysis Dashboard, companies can harness the power of data to drive efficiency and accountability.

Embracing Technology for Better Results

As the construction industry evolves, embracing technology becomes essential. The integration of platforms like ClickHome with advanced analytics tools allows companies to stay competitive. By leveraging data, businesses can optimize their operations and respond to challenges swiftly.

Future Trends in Construction Analytics

Looking ahead, the trend towards data-driven decision-making will only grow. Companies that invest in analytics capabilities will likely see enhanced performance. The future of construction management lies in the ability to turn data into actionable insights that drive success.

Conclusion: A New Era of Construction Management

In summary, the Timeframes Analysis Dashboard represents a significant advancement in construction management. By utilizing data analytics, Montgomery Homes can improve project delivery and foster a culture of accountability. This innovative approach positions the company for continued success in an ever-evolving industry landscape.

For more information on how data analytics can transform your construction projects, visit Montgomery Homes.