The time spent for the outsourching activity could be more efficiently re-invested, saving money and minimizing the risk to get a deal going not through.

In this regard, Big Data is going to change the traditional concept of Real Estate investments. Actual and future development is the consequence of the increasingly amount of Data, synergistically integrated with Data collection services, post-processing algorithms and predictive information.

Machine Learning itself is playing as a boost to the development of Real Estate predictive trends.
By exploiting devoted tools, it is possible to estimate the value of the product one is going to sell or buy, implementing it with a long-term estimation investment. By predicting the rent which can contribute to the investment cashflow, it is possible as a matter of fact to know the payback period necessary to recover the investment according to how to exploit the product just capitalized.

Through Neural Network algorithms, properly calibrated by means of availability of Big Data – provided by our tools – the rent estimation is computed with high precision due to the using of both physical-property data and geo-referred ones.

By this way, it is possible to investigate each of geographical portion of city, districts or hinterland, including all those areas where incipient success explosion has not been monitored yet.