Unlike many competitors, we compile our database, which is over 20 million records today and contains a wide array of information such as filing dates, dismissals, discharges, Chapter 7 and Chapter 13. All of our data is standardized, CASS Certified, DPV coded and an NCOA (National Change of Address) is run as data is gathered prior to submission to our master database. We gather the data directly from local courthouses nationwide and guarantee that you are receiving the most up to date and accurate data available.
Our count system is lightning fast, easy to use and available 24 hours a day. We have an assortment of count selects available such as geography, status or previous order suppression. Our output menu includes case number, chapter, discharge or dismissal, filing date or status.
HOW WE COMPILE THE DATA
Bankruptcy records are open to the public. We access those records using PACER (Public Access Court Electronic Records). PACER is an electronic access service that allows users to obtain case and docket information from Federal Appellate, District and Bankruptcy courts. Each court maintains its own database and though each court service is comparable to the other; the format and content of the information can often differ.
After we access the Courthouses raw data from PACER, we run the files through custom built programs that standardize and segment the information. This translates files from a visual reference into a raw database.
We enhance the data by cleansing address information using the USPS Coding Accuracy Support System (CASS) Software. This software is used to ensure the accuracy of delivery point barcodes, zip codes and carrier route information. We then run the CASS certified data through the National Change of Address file giving our data the most current delivery information available.
The final step in the process to create a marketing worthy database entails distributing the records within our custom built database system. Our system allows us to segment and categorize each section of information within each record allowing for query, analysis or fragmenting data.