The Dataiku Solution for Real Estate Pricing offers real estate professionals and connected teams to take a strong start towards simplified modeling thanks to a flexible template using machine learning (ML) fueled by historical sales and other feature data.
Get insights quickly with easy and clear information integrated into well-defined flow zones. Create custom dashboards and share specific insights on different real estate portfolios.
Generate ML-powered real estate purchase prices for a chosen scope of properties. Enter property features and geographic proximity to relevant areas, then get estimates and insights quickly and easily.
Adjust the pricing engine to different regions, input types, and asset types. Enrich the processing further by integrating large amounts of data, a critical challenge in most geographic information systems (GIS) projects.
Gain full transparency and ease of understanding of model features and input data sources. Easily comprehend model design and performance, and get comprehensive breakdowns of price estimates with detailed visual and technical insights.
The Dataiku Solution for Real Estate Pricing helps answer a broad range of questions like:
Moving to improved decision making through ML-adjusted valuation is just the start: monitor your existing portfolio across all dimensions, including its environmental impact. Develop unique approaches to Real Estate management and quickly move from use-case to use-case, all within a scalable, enterprise platform.
A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:
reduction in time spent on data analysis, extraction, and preparation.
reduction in time spent on model lifecycle activities (training, deployment, and monitoring).
return on investment
net present value over three years.