PREVest is thanks to Watson+ Holmes able to bundle data from multiple real estate managers in it's data warehouse. The reports are displayed uniformly online to PREVest and the data underlying the reports is updated daily.
This is a safe and responsible way to organize and bring together data delivery from different real estate managers in 1 database. Thanks to a very simple delivery procedure, it is possible to provide an update of the portfolio on a daily basis.
Dutch housing market
We have an extensive data set with regard to the Dutch housing market. The current supply, selling prices or municipality level can be compared against the national or regional situation at any time. A comparison with previous years can also so be made.
Unique is that the Dutch rental property market has been charted very sharply.
For example, the take-up per quarter or year per municipality can be seen, as well as the average price per m2. A distinction can also be made according to the type of home or neighborhood. In our analysis tool that has been developed, there are numerous selection and selection options.
Dutch housing market
We have an extensive data set with regard to the Dutch housing market. The current supply, selling prices or municipality level can be compared against the national or regional situation at any time. A comparison with previous years can also so be made.
Unique is that the Dutch rental property market has been charted very sharply.
For example, the take-up per quarter or year per municipality can be seen, as well as the average price per m2. A distinction can also be made according to the type of home or neighborhood. In our analysis tool that has been developed, there are numerous selection and selection options.
Area forecasts
By linking household data to other sources and applying data models to it, we provide an indication of the future for various real estate issues.
For example; PREVest can view the mutation probability with certain bandwidths of our tenants. This can form the basis for estimating the expected mutation costs and dynamics within a complex.
Area forecasts
By linking household data to other sources and applying data models to it, we provide an indication of the future for various real estate issues.
For example; PREVest can view the mutation probability with certain bandwidths of our tenants. This can form the basis for estimating the expected mutation costs and dynamics within a complex.
The bandwidths
The bandwidths that we can provide insight into:
A tenant-bound indication of the probability of moving within 3, 6 or 12 months from
tenants in your housing complex. Based on this, the dynamics of the housing market within a certain area and over the coming years can be predicted.
An indication per tenant about the risk of payment arrears. With this information we are able to make strategically and analytically substantiated decisions about investments in dumping projects.
The bandwidths
The bandwidths that we can provide insight into:
A tenant-bound indication of the probability of moving within 3, 6 or 12 months from
tenants in your housing complex. Based on this, the dynamics of the housing market within a certain area and over the coming years can be predicted.
An indication per tenant about the risk of payment arrears. With this information we are able to make strategically and analytically substantiated decisions about investments in dumping projects.
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