Habidatum is an American company assisting urban planners, professional experts, and businesses in understanding the dynamic urban environment through “big data” analytical interpretation tools including data analytical visualization. Habidatum’s software aggregates, transforms, and interprets unstructured spatial and temporal data generated by people and their devices usually as a byproduct of…

Location big data helps real estate owner, creditor and investor see the real estate market in its entirety. Effective business profile of the property, or its ´best use’, is a function (derivative) of the commercial area around the property, that can be identified digitally for all locations across country and the globe. — Location is very dynamic and becoming more and more so: it is not just about COVID-19 and similar cataclysmic events. It is mostly market change, the shift of people’s values regarding consumption, housing and transportation, work and leisure.

Correlations we studied in the equipment breakdown loss prediction model using the historical data sample of 2019–2020 show the following % of prediction improvements: the total predicted loss error was reduced by 15p.p with the addition of Habidatum mobility metrics alone and as much as 27 p.p. with the addition of all Habidatum metrics, including Location Risk Score, compared to the baseline model.

Intro To explore how New York City (NYC) community changed over the pandemic, we took data from GPS aggregators and looked at the relocation patterns of New Yorkers choosing to leave their homes until the pandemic is over, or even longer. In the previous article, we explored people’s outflow from NYC…

Over the last few years, Habidatum has been working to make real estate property location a measurable and manageable asset. Habidatum’s Location Risk Score is the core metric that supports it and decouples real estate properties from their locations. Location Risk Score calculation is global and real time which naturally…

Intro New York City (NYC) community changed a lot over the pandemic, sending hundreds of thousands of people away from their urban dwellings, and sparking interest among urban analysts. Where did people flee and why? What is the hinterland of NYC dwellers? We took data from GPS aggregators and looked at…

Intro: make use of time, let not advantage slip When Shakespeare coined this famous romantic plea, he might have not had an idea how practical his appeal could be in the field of commerce. The amount of time one spends in a location, so-called dwell time is way more important than the number of people passing this location.

Большинство людей проводят в каждой локации меньше получаса; От 30 до 60 минут — время на короткий шопинг, ланч или кофе; 1–3 часа люди тратят на поход в ресторан или торговый центр; В районном ТЦ обычно не задерживаются более часа, а в крупных моллах проводят от часа до трёх; Больше…

Key takeaways from our second lecture at the MIT Center for Real Estate Coming from academia ourselves we are pleased to contribute to the leading educational practices, reading guest lectures and providing students with an understanding of our own experience in linking data science with real estate markets. Кey takeaways from our second lecture at the MIT Center for Real Estate: ✓ The background of Location Risk Score: