Social living corporation applications
Forecasts based on machine learning can make your business applications smarter. However, this is still difficult in practice and many data scientist teams experience similar difficulties:
Liveability Monitor
Identify vulnerable neighborhoods, monitor real-time, and improve liveability.
Sustainability Monitor
Get insight into the sustainability of your neighborhood.
Customer Lifetime
Accelerate the flow chain and match tenants more efficiently.
Flow through
Detect different types of fraud and improve accessibility.
Optimalization of housing flow
Start with the acceleration of the flow in the housing market. Get the chain optimisation going and improve the flow- through rate. Identify empty nesters and presorted, and see how the relocation chain can be optimised. Compare the current situation with the new situation on housing costs, financial data, housing characteristics and facilities in the neighbourhood and gain insight into the mutation rate.
For more information: www.woningdoorstroming.nl
Sources
Client projects
and many more...
Social living solutions
Using real-time insights and predictive analyses, neighborhoods can be designed more efficiently, and recommendations can be made on how to improve the quality of life in vulnerable neighbourhoods. Real-time monitoring allows you to perform multiple analyses in the areas of maintenance, safety, integration, mutation complaints, and livability. Impact analysis gives you a better understanding of key variables and different forecasts to ensure that your daily operations are continuously improved.
Data sources
And many more...
Clappform B.V.
Overschiestraat 61
1062 XD Amsterdam
info@clappform.com
