Building value ​∝ quality of its data

In a few years, the value of a building will be determined not only by its location and rental income, but also by the quality of data on its operation. In the traditional model, information is fragmented, collected manually, and unsuitable for analysis. With the HiPerWare platform, operation becomes manageable in real time: data is collected continuously with reference to the "anatomy", analysed by AI, and forms the evidence base for ESG and financial decisions.

Traditional operation Operation with the HiPerWare platform
Data source
Contractor reports, inspections, BMS readings on request
Telemetry stream collected via IIoT sensors and integrated with BIM and AI analytics
Relevance
Delayed - from weeks to months
Real-time, with change history and data verification
Completeness Partial: only events and accidents are recorded Complete: all engineering system behaviour is recorded 24/7
Format Heterogeneous (PDF, Excel, logs, scans) Standardised digital format, ready for analysis and reporting
Reliability Depends on human factors Automatic data verification and quality control
Analytical suitability Low - data is unstructured and unconnected High - process data is interrelated and aggregated in the building model
Anomaly detection Based on incident results, manually, based on engineer's experience Automatic analysis of system process behaviour patterns, predictive detection of deviations
ESG and reporting Requires manual preparation and interpretation Automatically generated in accordance with ESRS and IEQ
Financial value Data is not capitalised, decisions are made based on feelings Transparent data increases NAV (Net Asset Value), liquidity and investor confidence

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