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.
How Aspect Improved Student Outcomes with Development Analytics Dashboard
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.
How Kingspan Achieved 15% On-Time Delivery Improvement with Supply Chain Analytics Dashboard
Kingspan, a global manufacturer of insulation and building materials, operates multiple production facilities across diverse geographic regions. The company manages hundreds of SKUs while coordinating complex supply chain operations between plants in Winchester, Rockford, Mendota, and Miami. As the business scaled, the complexity of managing inventory levels, open orders, and production schedules across these distributed operations grew exponentially. Leadership recognized that fragmented visibility into supply chain operations was constraining growth and impacting customer satisfaction.
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.