Home / Case Studies / Real Estate Data Firm
/ Case Study · Real Estate
A Real Estate Platform Makes Market Data Readable. Live Data, Clear Graphs.
/ The engagement
A Data Platform That Eases Property Decisions.
The client is a reliable name in North American real estate that wanted a modern property management solution with real-time statistics for customers. Brainvire built the platform from scratch, gathering real estate data from credible sources, then consolidating, analyzing, and sharing it in graphical form. API integration and a custom scraping tool keep the data current, and MongoDB data modeling keeps the vast data set clean.
/ About the client
The client is a reliable name in the North American real estate industry that wanted a modern-age property management solution with real-time statistics for customers. Its goal was for customers to use real estate data analytics to make conscious decisions about their properties.
Brainvire built a robust platform from scratch, writing the code and adding user-friendly features. The platform gathers real estate data from multiple credible sources, then consolidates, analyzes, and shares it in different graphical formats, so customers understand the market and make appropriate decisions.
/ The approach
Design, architecture, and features, shipped as one program.
Generated on demand
Reading the market from a long spreadsheet was daunting, so the team built an analytical tool with custom code and plugins to generate sharp graphics for the required data.
Kept real-time
Old data could mislead buyers and sellers, so the team used API integration and data scraping to avoid outdated information and support better choices.
Modeled in MongoDB
The platform gathered a plethora of data that could get messy, so data modeling on the Mongo side aligned the vast real estate data for clean graphical output.
Built to adapt
Accurate analysis needed an intelligent scraper, so the team wrote custom code for an advanced scraping tool that dissects massive data from varied sources.
/ What stood in the way
Four problems, solved without a maintenance window.
Select a challenge to see how it shaped the build.
Quick generation of graphics
Understanding the real estate market from a lengthy spreadsheet is daunting. The team developed an analytical tool with custom code to generate sharp graphics for the required data, with plugins for different picture types.
Real-time market data
Using old data can influence customer purchase or sale decisions. The team used API integration and data scraping to avoid outdated information, supporting better real estate choices without delayed interpretation.
Managing massive data
The platform accumulates a plethora of data that can be messy to manage. Data modeling on the Mongo side aligned the vast real estate data so the platform showcases the appropriate graphical representation.
A custom data scraping tool
It was essential to use an intelligent scraping tool for accurate analysis. The team used custom code to design an advanced data scraping tool that dissects massive data from varied sources.
/ Product screens
The delivered experience.
The interface people actually use.
/01Dashboard
/02Graphs
/03Market
/04Trends
/05Reports/ The results
What changed, in numbers.
/ Next step
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