Data Accuracy

At propellla.ai, we utilise Human Movement Data (HMD) to provide estimates for Return to Office in buildings in Australia's largest cities. The HMD represents a non-uniform sample of the total population. As a result, changes in the data volume captured within a specific building can stem from either variations in the HMD sample size or fluctuations in the actual number of people present in an office building.

To address this challenge, propella.ai has implemented advanced normalisation techniques that effectively account for fluctuations in the HMD sample using external data sources. While the exact nature of this normalisation process remains proprietary, Worker Activity at the city aggregate level provide insight into overall “Return to Office” trends at a city level. Our Worker Activity data was validated while the Property Council of Australia published their monthly occupancy survey results. During this time propella.ai’s Worker Activity estimates were consistently aligned with this validation source.