The features of the Databoard platform.
Mapping, project optimization, socio-economic profile, comparison between zones. Across 4 levels of granularity. With a confidence index on advanced analyses.
Progressive rollout to other markets. Sign up for the waitlist to be informed of the opening in your city.
Most tools on the market simply display average prices by neighborhood. Lycaon Data identifies what really makes these prices vary, so that every project, positioning or acquisition decision rests on measurable causes, not on averages.
See the methodology in detail ->Mapping & descriptive indicators
The platform's entry point. An interactive heatmap to identify zones, compare trends and extract statistical indicators across 4 levels of granularity.
São Paulo heatmap, city level
4 levels of granularity
City, sub-prefectures, districts, neighborhoods.
Configurable filters
Market, property type, indicator, amenities.
Statistical distribution
D1, Q1, Median, Mean, Q3, D9.
Monthly price evolution
Time series by property type, with average, median, top 10% price options.
Typological analysis
Proportion of suites, bedrooms, parking spaces.
Amenities analysis
Number of parks, metros, favelas. Distance, travel time, distribution 0 to 2km+.
Real estate project optimization
Three econometric models to answer three questions that no market average can answer: which characteristic of my project generates the most value, how much my product should differentiate from its environment, and which urban amenities enhance my zone.
Key valuation factors
A 10% increase in surface area generates +8.4% on price. 1.33× the city average. In this area, surface area is a key driver.
For each property characteristic (surface area, suite, garage, pool, gym, and more), the module isolates the pure impact on price, controlling for all the other variables.
- Impact in % per characteristic
- Comparison to the city average (e.g.: 1.33× the average)
- Actionable textual interpretation
- Analysis confidence index (R²)
- Sample size
Price mimicry
Weak neighborhood effect. The property's value rests on its own characteristics, not on the neighborhood average.
Measures how much a property's price is determined by the prices of neighboring dwellings (strong mimicry, coefficient close to 0.25) or by its own characteristics (weak mimicry, coefficient close to 0).
- The mimicry coefficient on a scale of 0 to 0.25
- A textual interpretation of the dynamic
- The confidence index
- The sample size
Effect of urban amenities
Effect on prices
Proximity to Parque da Aclimação generates an average uplift of +3% at 200-300m, reaching +21% within 50m.
Illustrative values, not representative.
Models the impact of proximity to an urban amenity (park, metro station, hospital, school...) on the sale price of properties.
- % value added by distance band (<50m to 2km+)
- Textual interpretation of the decay curve
- Confidence index and sample size
- Comparison between several amenities
Socio-economic profile
Cross-reference the market reading with the territory's profile. Six quality-of-life dimensions and four demographic indicators to validate that your project is consistent with the local context.
Quality-of-life scores
Health, safety, wealth, education, job diversity, housing. Scale 0 to 100, weighted general score.
Demographic indicators
Total population, surface area, density, demographic growth.
Full granularity
Available at city, sub-prefecture, district and neighborhood levels.
Comparison between zones
Compare two zones side by side, at any geographic level. All the platform's indicators and analyses displayed in parallel.
- Avg. area150 m²
- Quality-of-life score87,7
- Mimicry0,07
- Growth-0,45%
- Avg. area197 m²+31%
- Quality-of-life score57,5-30,2
- Mimicry0,15x2
- Growth2,11%+1,66 pts
The comparison brings together in a single view:
- Descriptive indicators (average price, distribution D1 to D9, surface areas, typology, amenities)
- Optimization modules (key factors, mimicry)
- Socio-economic profile (scores and demographics)
- Monthly price evolution
Projects.
Organize your analyses around your concrete real estate projects, with the program and the market zones that concern them. Centralize the context, decisions and collaboration of your team.
Tour Pinheiros
DraftSharedProject team
3 members, 1 owner, 1 editor, 1 viewer
Analysis zones
Guided creation
Market context pre-filled from your project's location (median price, key factors, available sample).
Structured program
Unit mix, number of dwellings, surface areas, parking, target price segment, delivery schedule.
Linked analysis zones
Link several market zones to a project and compare them directly, without re-running the analyses manually.
Team collaborationPremium · Enterprise
Share the project with your team members with precise roles: owner, editor, viewer.
Project status
Draft, shared, archived. Track the lifecycle of your projects from conception to acquisition decision.
PDF reports for your professional contexts.
Each analysis exports to a document to present directly where the decision must be justified with rigor:
- Investment committees
- Land acquisition files
- Presentations to banks and investors
Your city isn't covered yet?
The 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.