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Our Research Areas
Big Data Analytics
Big Data is helping the real estate sector to find the wishes, trends, needs, and even the interests of users to better adapt to their distinct profiles and ultimately make better decisions. Making data driven decisions allows companies to improve in the form of refinement. This refinement means that sellers are targeting the right buyers who want to purchase the property (which is not nearly as easy as it sounds). Companies are also using the power of big data to make strategic business moves and adapt their business models. Through better understanding the needs of users and having a much clearer picture of the market, all businesses can better adapt to meet their customers’ needs.
Property Management describes technology-based platforms which facilitate the operation and management of real estate assets. The assets can be single property units or buildings. The platforms may simply provide information about building or urban center performance, or they may directly facilitate or control building services. This sector supports real estate asset, property and facilities management.
Matchmaking Platforms offers a new opportunity for landlors, tenants, sellers, buyers, investors, startups, venture capitals and other players of real estate industry. Because of these reasons digital platforms are for matching much important than before. Digital transformation changes behaivor of players in next years and virtual investment and transactions platforms, augmented reality for home visiting and 3d printings offer a new level in real estate industry.
Building Information Modeling (BIM), CAD, Smart Buildings, Internet of Things, Artificial intelligence, machine learning, Data Driven, Big Data Analytics, robo-production, Sustainability, Green Buildings, Virtual Reality, Augmented Reality, 3D Printing, Drones, Clean Technology, Sustainable equipments all these are changed and will change the construction sector. The construction ist important part of the life cycle of buildings and determines cost, types of space using and value.
Smart Buildings & IoT
Property Technology won’t be complete without the concept of Smart Building and Internet of Things. Energy consumption and sustainability are at the core of this concept. Smart Buildings concept combine space with technology. There are two types of smart buildings currently in need – those that use tech platforms for efficiency and those that support large tech platforms. The IoT can, and will continue to improve the real estate industry with an array of varied applications. From devices designed for predictive maintenance, or accelerated decision making, to increased energy efficiency in the buildings and cities.
Automated Valuation Models
AVM was a mathematical or artificial intelligence based computer software that can predict residential property prices based on the housing characteristics. The prediction accuracy of an AVM depends on the available data and the backbone calculation mechanism within an AVM. AVMs are characterised by the use and application of statistical and artificial intelligence techniques. Some of the advantages in using an AVM are the non-biased, efficient and quick of property estimates.The art for the platforms in order to be able to position themselves as a serious alternative will therefore be not only to analyze quantifiable data (e.g. living space, plot size), but also qualitative (e.g. condition, equipment, outlook).