This time we dive deeper into our own personal experience and motivation when it comes to creating this models. We will also explain how the models handle one of the biggest uncertainties in the market caused by pandemics and explain the background of our tech solutions. For more info check d-darks.com

With this episode we are starting with the basic discussion - how it was before and it is partly still done by CRE company and what are the new options offered when it comes to financial risk management. We are setting the basis for all of the further discussions coming up on this podcast so if you are interested in this topic please make sure to subscribe and leave your comments/questions

D-Darks data driven financial risk management solution combines market and portfolio data and helping big real estate investment funds and financing companies to highlight their present and future risks. Custom created analytical tools made by experienced risk professionals are based on the state of the art statistical modelling and AI powered in a way to answer to the biggest industry challenges. For more infos please check d-darks.com

In this second part of our Market Risk Radar Tool demonstration we will do part of the case study for you, focusing on Vienna prime office market and the influences we are noticing in the regional context. This statistical approach allows us to uncover how actually certain market parameters are influencing each other and overall risk development in the EU region (Here only Germany and Austria). This findings are, besides uncovering market dynamics in presence and near future, also bringing us better data quality which we are further using for other statistical simulations and machine learning. For more please visit our site d-darks.com

D-Darks proudly presents new SaaS solution for predicting financial risk for Real Estate market, which is implementing network dynamics statistic modelling. In practice this means that with this solution we are able to reflect the relationships and dependencies market data have in the real world and process them with data analytics in order to get reliable results. In this video our founder and product developer explains the basic principle behind this model and shows how some features of the app are used. This solution was especially developed for commercial real estate investors and investment funds. #risktech #proptech #predictiveanalytics #riskmanagement

Very important and we would say crucial difference between the way how things are done currently in the risk management and how they are being done in data driven environments is subjective vs objective deciding. In this video we explain the difference and advantages.

The times of being surprised with emerging economic crisis are over. Now we have tools to objectively measure market impacts and predict risks of crisis. More about our predictive analytics risk model pls find on d-darks.com

In this video we are comparing predictive analytics with business analytics, which are currently getting their use in the real estate risk management field. We are underlining the basic differences and the ways how to combine them successfully! For more info on predictive risk management please visit d-darks.com