Real Estate Data Science & AI Solutions

Unlocking all the analytical potential of your data and all the available data!

Innovation at Pillar Analytica

Pillar Analytica develops innovative ways of estimating the Residential Beta for the identification of true alpha assets on the market. Our cutting edge data science modelling and analysis allow our clients to be constantly up-to-date about the value and risk of their assets, as well as all other relevant information for confident and swift investment decision making.

What do we offer?

 

  • The first step to complete understanding of the residential real estate market is precise valuation of both sale price and rent. We work with the large set of databases from transaction records, online listings to mortgage loan performance data and local socio-economic indicators to provide the best valuation available, using a combination of traditional statistical models and AI algorithms.

  • Based on historical records of the local housing market and current valuation and forecast. We offer comprehensive risk assessment of any residential asset that lies within our ever-expanding city island networks. From individual Beta assessment relative to the local market to the overall risk profile of a large portfolio, we provide you the most accurate information of your actual risk exposure.

  • We use proprietary models at Pillar Analytica to offer easy to use portfolio management metrics similar to the stock market. Moreover, as residential real estate markets are often local and segregated, Beta analysis would be conducted on a relative basis. For instance, you can either demand a city beta, state beta, or national beta. We are the only financial consultancy that offers residential Beta to our clients.

  • With the Betas, one can easily identify Alpha assets in local residential real estate markets for asset acquisition, re-allocation and portfolio performance tracking. We will be able to identify the desirable alpha assets relative to any investment preference of our clients. We will then offer guidelines for alpha assets accordingly during the asset sourcing process.

The Berlin Case Study

  • Annual total return by postcode

    This map illustrates the average annual total return of residential assets by postcode in Berlin. This shows a micro-location level historical average return — rent and capital gain.

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  • Annual rental yield

    This map illustrates the average annual rental yield of residential assets by postcode in Berlin. This shows the steady cash flow residential assets can generate each year.

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  • Residential Beta

    This map shows the residential beta at postcode level in Berlin, which is calculated by the market volatility and micro-location volatility.

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Flexible Service Options

  • In-House Data Scientist

    This is a continuous subscription service, which offers residential real estate data science consulting services to our clients whenever needed. We promise the quickest response time and highly customised reporting.

  • Deal-based Service

    We also offer infrequent users of our service the option to purchase our residential real estate data science consulting service per deal. We offer the same level of sophistication in data analysis and reporting.