Operation Analytics Case Studies
How PeeplCoach Used Data to Elevate Coaching and Capacity
PeeplCoach faced growing complexity as it expanded leadership and career development programs across multiple organizations. Managing hundreds of participants and coaches through spreadsheets made it difficult to distribute workloads fairly, track coach capacity, or measure program quality. The lack of integrated visibility limited their ability to monitor performance, analyze feedback, and provide transparent reporting to corporate clients. Without a unified system, PeeplCoach struggled to plan resources effectively and demonstrate measurable outcomes for its coaching programs.
Tracking Growth with Purpose: How Aspect Boosted Student Outcomes
Aspect schools, which support students on the autism spectrum across multiple campuses, faced challenges in tracking developmental and academic progress consistently. Teachers relied on fragmented reports and manual data compilation to monitor social, emotional, and communication milestones, leaving little time for direct student support. Without a centralised system, it was difficult to identify learning gaps, compare progress across classes or campuses, or detect early signs of students needing intervention. This limited educators’ ability to make informed teaching decisions and provide timely, data-driven assistance.
Driving Kingspan’s Supply Chain Efficiency with Data
Kingspan, a global manufacturer of insulation and building materials, faced growing supply chain challenges as operations expanded across multiple plants. Each facility relied on separate ERP exports, creating fragmented views of open orders, overdue deliveries, and inventory. Managers lacked a unified system to forecast demand, track stock health, or monitor financial exposure between raw materials and finished goods. This limited visibility slowed production planning, led to inconsistent order fulfillment, and tied up working capital in excess or misplaced stock.
How Montgomery Homes Used Data to Improve Vehicle Tracking
A construction company faced challenges in monitoring the efficiency of its construction supervisors, who frequently traveled between job sites across NSW. The team depended on weekly tracking logs sent by email, which were then processed through Excel macros to classify visits before being compiled into static PDF reports. This approach was heavily manual which makes it difficult for managers to accurately evaluate performance or optimize schedules.
Driving Supply Chain Visibility: AgriChain Logistics & Commodity Dashboard
A construction company faced challenges in monitoring the efficiency of its construction supervisors, who frequently traveled between job sites across NSW. The team depended on weekly tracking logs sent by email, which were then processed through Excel macros to classify visits before being compiled into static PDF reports. This approach was heavily manual which makes it difficult for managers to accurately evaluate performance or optimize schedules.
Accelerating Build Timelines with Data: Montgomery Homes Timeframes Dashboard
Montgomery Homes tracked project progress in ClickHome, yet the data remained scattered across detailed milestone fields without a clear way to view build performance at scale. Leadership could not easily compare Commencement-to-PP5 durations, assess supervisor performance, or understand regional differences across Sydney, Central, and Newcastle. Resource planning, scheduling accountability, and delivery forecasting suffered because delays and inefficiencies often surfaced only after homeowners felt the impact.