Insights & Best Practices

Insights & Best Practices

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Stay ahead with expert insights on asset management, energy strategy, and digital transformation. Discover success stories, product tips, and in-depth articles from the teams building tomorrow’s infrastructure intelligence.

Maintenance Data, EPC Data and Renovation Passports: Why Integration Matters More in 2026

Integrate maintenance records, EPCs and renovation passports to cut costs, meet 2026 energy rules, and improve asset planning.

Predictive Maintenance for Buildings: Where Analytics Deliver the Fastest Payback

IoT and AI predictive maintenance cuts repair costs, improves HVAC energy efficiency, and yields ROI in 8–14 months.

Social Housing Renovation in Europe: Building an Investment Plan Around Funding, Carbon and Affordability

Data-driven renovation plans are essential to scale EU-funded deep retrofits that cut carbon while protecting tenant affordability.

How Predictive Maintenance Supports Long-Term CAPEX Deferral Without Increasing Risk

Use predictive maintenance to defer CAPEX, cut emergency repairs, and reduce risk with multi-year, data-driven asset forecasts.

Health Buildings and Decarbonisation: How to Invest Without Compromising Care

Step-by-step framework for hospitals to cut emissions—assess assets, prioritize high-ROI upgrades, secure funding, and protect patient care.

Predictive Maintenance in Social Housing: Can You Prove the ROI?

Predictive maintenance cuts repair costs, extends asset life, boosts tenant satisfaction, and proves ROI for social housing providers.

Predictive Maintenance vs. Capital Renewal: How to Decide When Analytics Is Enough

Use analytics to extend high-value assets, and opt for capital renewal once maintenance costs exceed replacement value.

AI vs. Traditional Predictive Models: What Delivers Better Maintenance ROI?

Compare AI and time‑based maintenance: cost, downtime, ROI, and when to apply each for optimal asset performance.

How Intelligent Anomaly Detection Improves Predictive Maintenance Business Cases

Use machine learning to detect equipment anomalies early, reduce downtime and maintenance costs, and extend asset life.