CompStak ensures data accuracy through a combination of rigorous processes and quality control measures
To ensure each comp in our database is the most accurate and complete transaction record available, CompStak utilizes three methods to verify our lease and sales information: Machine Learning, Analyst Review, and Community Regulation.
1. Machine Learning
Our statistical anomaly detection system and machine learning algorithms identify outlier lease data for in-depth review. With every comp on our database received by us an average of five times, we're able to identify discrepancies right away.
2. Analyst Review
CompStak's team of dedicated real estate analysts and data scientists investigate and correct comp anomalies to further ensure accuracy. Their process includes cross-checking lease details across multiple submissions, researching the market, and reaching out to the brokers as needed to confirm details.
3. Community Regulation
Pre-screened and trusted CRE professionals comprise the CompStak crowd-sourced community. When members consistently provide accurate lease information, we reward them with access to more lease comps.
CompStak Exchange maintains data integrity by restricting platform access and the sharing of data exclusively to commercial real estate professionals, including brokers, fee-based appraisers, and brokerage researchers.