Mapping & descriptive indicators
Interactive heatmap across 4 levels of granularity. Full statistical distribution, typological analysis, amenities analysis, monthly price evolution.
Real estate analysis platform powered by econometric models. Continuous analysis of more than 200,000 properties in São Paulo.
Knowing that the median price in Pinheiros is R$17,201/m² is a starting point. Knowing that in this area a 10% increase in surface area generates +8.4% on price, 1.33× the city average, and that the neighborhood effect is weak there (mimicry coefficient 0.07), lets you decide concretely: prioritize surface area, differentiate your product, don't align with the neighborhood.
Lycaon Data provides these decisions, not just a reading of the market.
Interactive heatmap across 4 levels of granularity. Full statistical distribution, typological analysis, amenities analysis, monthly price evolution.
Three core econometric models: key valuation factors (% impact per characteristic), price mimicry (spatial dependence coefficient) and the effect of urban amenities (% impact by proximity, at city level).
Each analysis comes with a confidence index and the sample size.
Quality-of-life scores across 6 dimensions (health, safety, wealth, education, job diversity, housing) + population, density, demographic growth.
Side-by-side analysis of two zones at any geographic level. Synchronized visualization of prices, surface areas, typology, amenities, optimization and socio-economic profile.
Export any analysis as a custom PDF, to present directly in your investment committees or acquisition files.
Demo based on real data from São Paulo.
Create a project from your real estate product's location, link the relevant market zones to it, and centralize your team's decisions in a single space.
Discover the Projects spaceQuick validation of a zone via the heatmap + statistical distribution D1 to D9 + amenities analysis (proximity to metros, favelas).
Output: median price, interquartile range, socio-economic context of the zone.
Optimization module -> Key factors. Identify the price impact of each characteristic (surface area, suite, garage, pool) for the target neighborhood.
Output: % impact per characteristic + confidence index + sample size.
Optimization module -> Price mimicry. Measure spatial dependence to decide: align with the neighborhood (strong mimicry) or differentiate (weak mimicry).
Output: coefficient + interpretation + confidence index.
Our database grows continuously. As time goes by, the analysis becomes more precise: new neighborhoods covered, refined granularity, consolidated market history.
The econometric models are readjusted regularly to track market dynamics. A frozen valuation coefficient loses its value within a few quarters.
New analysis modules regularly enrich the platform. Your subscription follows these developments at no extra cost.
Our advice: check your Databoard every month to capture these updates and keep your analyses aligned with the market.
For independent professionals
billed annually
Sign upFor teams of 2 to 10
billed annually · 2 users included
Sign upFrom 11 users
SLA + dedicated account manager
Talk to the teamThe Databoard platform is currently open in São Paulo (Brazil). We are progressively deploying our models to other markets. Sign up for the waitlist to be informed first when we open in your city.