CASE STUDY
How Montgomery Homes Improved Project Delivery Performance with Timeframe Analytics
AT A GLANCE
-
Client: Montgomery Homes
-
Industry: Residential Construction
-
Location: NSW, Australia
-
Solution: Project Delivery Performance
-
Key Impact: Improved benchmarking, bottleneck identification, strategic planning enhancement
Background
Montgomery Homes manages numerous residential construction projects across multiple regions in New South Wales, from Sydney to Newcastle and Central regions. Each project involves complex coordination between supervisors, contractors, and progress payment milestones that determine cash flow and customer satisfaction.
With increasing market demands for faster delivery and rising construction costs, the company recognized that optimizing build timeframes was critical for maintaining competitiveness and profitability.
The Challenge
Montgomery Homes lacked comprehensive visibility into construction timeframes across their project portfolio. While project data existed within various systems, it was scattered across progress payment records, contract databases, and supervisor logs, preventing integrated analysis of delivery performance.
Management had no clear visibility of build duration from commencement to key milestones, particularly the critical progress payment stages PP1 through PP5 that triggered revenue recognition. Without consistent benchmarks comparing median versus actual completion times, supervisors operated without clear performance targets. The company couldn't determine how contract values impacted delivery timelines or whether higher-value homes consistently took longer to complete.
Regional and supervisor-level performance comparisons were impossible with existing reporting, preventing identification of bottlenecks or best practices. This lack of systematic measurement meant inefficiencies went undetected, delays weren't proactively addressed, and successful approaches couldn't be replicated across teams.
The Solution
GrowthBI developed a comprehensive Timeframes Analysis dashboard in Power BI, designed to measure and monitor build efficiency across all projects. The solution integrated data from project management systems, contract records, and progress payment tracking into a unified analytical framework.
The Stage-Wise Analysis visualized average and median weeks for each milestone from commencement through PP1 to PP5, immediately revealing where delays typically occurred in the construction process. Regional comparison capabilities enabled side-by-side benchmarking of supervisors and regions including Sydney, Central, and Newcastle.
Key capabilities included:
-
Contract Value Correlation Analysis: Scatterplots revealing relationships between contract values and completion times
-
Supervisor Performance Rankings: Leaderboards ranking supervisors by speed of completion, creating accountability and healthy competition
-
Job Series Filtering: Customizable views by construction type, including single-storey, two-storey, and downhill builds
-
Drill-Through Navigation: Seamless navigation from overall regional performance to supervisor level to individual contract details
-
What-If Scenario Planning: Adjustment capabilities for expected timeframes to project impact on completion targets
Results
The Timeframes Analysis dashboard provided unprecedented transparency into project delivery performance across Montgomery Homes' operations. Leadership gained clear, data-driven visibility of build durations across teams, enabling evidence-based performance discussions and target setting.
Benchmarking capabilities comparing median versus actual completion times established realistic delivery targets while identifying exceptional performers. Supervisors could pinpoint specific stages, particularly PP2 to PP3 transitions, where delays frequently occurred, enabling targeted process improvements.
Key performance outcomes included:
-
Enhanced transparency in project delivery performance
-
Improved benchmarking with median versus actual comparisons
-
Bottleneck identification at specific milestone stages
-
Strategic resource planning based on contract value correlations
-
Performance accountability through supervisor rankings
The correlation analysis between contract values and completion times enabled more accurate forecasting and resource allocation for different project types.
Looking Forward
Montgomery Homes continues to refine their timeframe analytics with plans to integrate weather data and supplier performance metrics. The company is developing predictive models for project completion based on early-stage performance indicators.
The success of this analytical approach has led to implementation of performance-based incentives tied to the dashboard metrics.
Want to see the technical details behind this implementation? Read our technical deep-dive to learn how we built the timeframe analysis model using SQL Server and Power BI.