We built our platform from the ground up to collect and validate data
ChainXY Data Platform
The QA process is a fundamental building block of our data service. It allows our team to efficiently collect, validate and improve our data. We include a feedback loop that incorporates subscriber input and persists improvements across data updates.
STEP 1. COLLECT
Data should not come second-hand which is why we collect our data directly from restaurant and retail chains. By using retailer websites, we collect data from the chains themselves and stay on top of their location information.
- Data collected from the source
- Frequent Updates (monthly or quarterly depending on chain)
STEP 2. GEOCODE
Positional accuracy is imperative when conducting your market analysis. While geocoding is not an exact science, we’ve engineered a multi-step rules-based geocoding process to provide you with accurate results.
- Multi-step geocoding process
- Blended approach of automated and human verification
STEP 4. PUBLISH
We believe that easy things should be easy, and that includes how you interact with data. Our platform is designed to provide you with the data you need, when you need it, in the format that suits you best.
- Multiple flat and spatial data formats
- Proximity Reports, Maps and Void Analysis Tools
STEP 3. VALIDATE
We pride ourselves on the quality of our datasets. Before a chain list is published, we conduct a rigorous quality assurance process to ensure data meets our high standards.
- Rigorous QA process
- Human intervention to identify and resolve issues
Locational Data Built on
We are committed to continuously improving the quality of our datasets, which is why our data platform was designed and built to incorporate your feedback. At every stage of our process, we can benefit from your input. Our feedback loop allows you to make suggestions or submit a correction for our QA team to review. Your improvements are then integrated into the data and persists across data updates. By working together, we create a community of improvement based on accuracy, quality, and integrity.