The goal of this adapt and apply solution is to show asset management organizations how Dataiku can be used to predict the price of residential real estate using publicly available data in order to identify key factors in real estate pricing at individual and portfolio levels. More details on the specifics of the solution can be found on the knowledge base.
- Zoom into specific insights for each input dataset through easily configurable dashboards.
- Predict real estate purchase prices thanks to a machine-learning powered model.
- Ensure highest level of understanding and transparency on model features and input data sources.
- Access predicted valuations in whatever way is of most value: interactive Webapp, API calls, or bulk export.
- Easily adapt the pricing engine to different regions, types of assets and enrich with additional data inputs.
Assets invested in Real Estate have x3 in the past ten years to exceed 3,3 trn$ AUM. The pandemic has triggered significant volatility on real estate pricing: on average, commercial real estate indexes have seen their prices drop by -25% in a year.
In this non-regulated market, the importance of strong valuation strategies is critical to support opportunity identification, fuel impactful negotiation strategies, and optimize P&L management. Teams focused on developing effective valuation models need to manage complex data integrations, detailed modelling challenges, while ensuring the output results are easily consumable by other teams and clients.
This work can often involve distinct skillsets and underlying technologies, making collaboration challenging and creating project inefficiencies. By removing the need for upfront investment in Webapp and API design, allowing data scientists, data analysts and asset managers to interact collaboratively, and providing a flexible and complete project framework with real-world data, this solution accelerates time to insight and minimizes unnecessary development and effort.
- Requires DSS v9+
- Prior to installation, your Dataiku instance Admin will need to create a code environment and install plugins. The full list of requirements can be found here.
- This adapt and apply solution can be installed and used right away in one of two ways:
- On your Dataiku instance click + New Project > Sample Projects > Solutions > Real Estate Pricing
- Download the .zip project file for your Dataiku version and import it directly to your Dataiku instance
Fully templatized project to speed time-to-value
Well-defined zones of work and a clear flow of information allows for data scientists to quickly adapt and focus on the complex challenge of hedonic modelling.
Property Price Prediction
Based on the specific features of a given property, alongside geographic proximity to relevant areas and amenities, generate a price estimate.
Powerful GIS data processing
Effectively process and integrate large amounts of data from a wide array of sources, a critical challenge in most geographic information system (GIS) projects.
Advanced visualization and explainability
Detailed visual and technical insights into the underlying model and integrated data sets allows for careful analysis of model design and performance, alongside in-depth breakdowns of price estimates by dimensions of interest, such as subregion or feature proximity.
Generate prices interactively in many ways
Depending on your specific needs, generate prices one property at a time or in bulk, via the Dataiku webapp, Flow, or external API calls.