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Data Management & Analytics

Data Management & Analytics

Asset data intelligence services transforming condition information into predictive insights for infrastructure owners.

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Sterling's Approach

Strategic Data Models for Asset Decision-Making

Sterling partners with infrastructure owners to build strategic asset data models and prioritisation frameworks that underpin asset management decision-making. Our data analytics services transform raw condition information into intelligence that drives annual works planning, optimises deteriorated assets, and supports long-term investment strategies.

For ARTC, we have developed sophisticated load rating models to assess deteriorated assets of all construction types across 25,000+ structures since 2019. All structures are GIS-mapped with location tagging, and modelling is completed to identify trends and opportunities for maintenance and renewal. This demonstrates our capability to deliver data analytics at portfolio scale across national infrastructure networks.

Our data analytics approach focuses on generating actionable knowledge from existing collected data, not just data collection for its own sake. We work within client systems and regulatory frameworks, ensuring outputs align with operational realities and funding cycles.

Technical Capabilities

Data Intelligence & Analytics Capabilities

From condition data to strategic investment decisions

→Strategic data integrity programs for infrastructure owners
→Asset modelling frameworks with prioritisation matrices
→Load rating models for deteriorated structures (25,000+ ARTC structures)
→GIS integration with location tagging and spatial analysis
→Condition trend analysis and deterioration forecasting
→Remaining Useful Life (RUL) calculations across asset classes
→Risk-based asset prioritisation using structural typology
→Annual works planning support aligned with funding envelopes
→Power BI visualisation for portfolio-level insights
→Integration with client Enterprise Asset Management systems and asset registers
Deliverables & Value

Data-Driven Decision Support

Intelligence that optimises asset investment

Deliverables

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Strategic Asset Data Models
Comprehensive data frameworks linking condition information to investment decisions, ensuring the right data is collected and converted into actionable knowledge.
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Prioritisation Matrices
Risk-based ranking systems that underpin annual works planning, enabling infrastructure owners to allocate budgets based on condition, consequence, and strategic priorities.
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Load Rating Models
Sophisticated assessment models for deteriorated assets (as new vs as is conditions), supporting safe operation decisions and renewal timing for bridge portfolios.
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Portfolio Analytics Dashboards
Power BI visualisations providing real-time insights into asset condition trends, maintenance progress tracking, and renewal forecasting aligned with funding cycles.

Value Delivered

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Proven Strategic Data Partnership
V/Line SDIP engagement demonstrates capability to deliver strategic data integrity programs that transform how infrastructure owners collect, analyse, and act on asset condition information at network scale.
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Portfolio-Scale Analytics Experience
25,000+ ARTC structures analysed with GIS mapping, load rating models, and trend identification — proving our capability to handle national infrastructure data programs with consistent methodologies.
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Integrated Data Collection & Analytics
Unlike pure consultants, Sterling collects the data we model, ensuring our analytics frameworks are grounded in field realities, not theoretical best practice divorced from operational constraints.

Standards & Compliance

→AS/ISO 9001:2015 Quality Management Systems
→AS/ISO 14001:2015 Environmental Management Systems
→Data governance frameworks aligned with client requirements
→Integration with ONRSR regulatory reporting
→GIS industry standards and spatial data protocols
Frequently Asked

Common Questions About Data Management & Analytics

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