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Predictive Analytics

Reath utilizes advanced machine learning and statistical methods to analyze large public and private data sets across asset classes. Our predictive analytics models sift through vast datasets to identify patterns, trends, and outliers, empowering you to act with greater confidence.
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In the era of data-driven decision-making, predicting trends and anticipating market shifts is not just an advantage; it's a necessity. It’s also expensive and requires specialized staffing and technical knowledge to execute effectively. Reath makes institutional grade analytics and forecasting available to investors and brokers on demand through its platform. Think of it as having your own quant desk but without the army of PhDs talking about strange topics.

Example Uses

Create a custom demographic or economic “signature” to identify the locations / properties with the highest potential rents 📈 based on your own portfolio data 💼.

Identify properties most likely to come up for sale or refinance ahead 💸 of competitors.

Utilize computer vision and image generation models 🖼️ to perform return on renovation cost calculations.

Get automated ✅ rent recommendations.

Reath also offers its clients  custom analytics and data science outsourcing to build solutions with your existing, private data sets.