Big Byte Insights
Data Driven Insights for Decision Making
Big Byte Insights
Big Byte Insights uses web scraped data to predict KPIs of publicly traded companies for US-based institutional investment managers.
Multi Family
Daily updates on pricing trends for multifamily apartments in the United States.
- Daily updates on year over year changes.
- 7 REITs / 1,700+ assets in 70+ MSAs.
- Historical data since end-2015.
Single Family
Daily updates on pricing trends for single-family homes in the United States.
- Daily updates on year over year changes.
- 2 REITs / 100,000+ assets in 100+ MSAs.
- historical data since mid-2014.
Self Storage
Realtime intelligence on pricing trends for self storage warehouses in the United States.
- Daily updates on year over year changes.
- 5 REITs / 6,000+ assets in 226 MSAs.
- historical data since mid-2013.
Work Process
Process Cycle of Data to Valuable Decisions
Alernative Data Stream
- We use Scrapy and various Python modules to scrape the data.
Data Engineering
- Scrapers are orchestrated daily using Airflow.
- The data is conceptually and logically modeled before being inserted into the relational database.
Data Science
- Clustering Algorithms to identify the anomalies.
- Machine and Deep Learning predictive models are used to predict the future.
Visualization
- User friendly Business Intelligence dashboards with secured login access to our clients to look into our live analysis.
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