About

A leading national construction and restoration services group specialises in managing complex insurance and property repair projects across Australia. The organisation works closely with insurers, loss adjusters, and property owners to deliver quality outcomes under tight timeframes. With multiple business divisions, hundreds of active projects, and geographically dispersed teams, the company needed greater visibility and control over operational performance, financials, and client outcomes.

Challenge

As the organisation scaled, data fragmentation across multiple systems ,including job management, finance, HR, and customer relationship management platforms, became a major obstacle. Critical information such as project costs, repair cycle times, subcontractor performance, and client service metrics was stored in silos, making it difficult to track progress or identify risks in real time.

The leadership team sought to create a unified data strategy that would:

  • Consolidate data across systems into a central, trusted source

  • Enable proactive decision-making based on accurate, timely information

  • Improve transparency and accountability across teams and regions

  • Establish governance and data ownership frameworks to support long-term scalability

Solution

AGER BI worked closely with the executive and IT teams to design and implement a comprehensive enterprise data strategy roadmap. This included the development of a modern data architecture, governance framework, and analytics delivery model to ensure data integrity, consistency, and value creation across the organisation.

Key components included:

  • Data Integration: Consolidation of multiple operational and financial systems into a centralised data warehouse using best-practice ETL and data modelling techniques.

  • Governance Framework: Establishment of data ownership roles, quality standards, and security policies to protect sensitive project and client data.

  • Performance Analytics: Creation of executive dashboards and KPI frameworks to monitor project delivery efficiency, profitability, and customer satisfaction.

  • Change Management: Alignment of business processes with the new data ecosystem, ensuring buy-in across departments through training and stakeholder engagement.

The resulting architecture provided the flexibility to incorporate advanced analytics and machine learning models in the future, allowing the business to continue evolving its insights capability.

Benefits

The new data strategy transformed the way the organisation uses information to drive business outcomes.

Key results included:

  • Improved decision-making: Leadership gained a clear, real-time view of project performance, cost drivers, and bottlenecks, allowing for proactive intervention.

  • Operational efficiency: Automation of reporting and KPI tracking reduced manual data processing and improved visibility across the entire project lifecycle.

  • Enhanced accountability: Transparent, consistent data allowed regional and divisional managers to track performance against benchmarks and client expectations.

  • Strategic agility: With a scalable and well-governed data foundation, the business is now equipped to expand analytics capabilities, forecast trends, and identify new efficiency opportunities.

By implementing a robust data strategy, the organisation now operates with greater insight, control, and confidence, turning information into a genuine competitive advantage across the construction and insurance restoration industry.