Author: Noah Gomez
Created: 1 July 2023
Published: 20 December 2023
Updated: 30 May 2024
Active - Continually Updated
Product Concerned: Credit Builder Loan
File Type: Created in Microsoft Excel, Hosted Privately
Availability Status: Public
Mother Catelog: Public Datasets
Mother Catelog Description: A collection of datasets acquired, processed, refined, and analyzed by Thick Credit.
30 May 2024
This data table hosts commercial data of over 130 consumer credit metrics, as held by banks, credit unions, and online lenders. It is a public dataset available to the public and used by ThickCredit to find the best offer recommendations for consumers via free content & paid products.
This dataset is similar to but not the same as:
Data is chosen and collected with consumer borrowers in mind. Data fields are limited to metrics that inform decision-making and risk-mitigation, as well as contact information. Most of the raw data must be analyzed by Thick Credit to drive insights, except for simple fields such as name and purchases.
All data is continually collected from the Federal Reserve by human agents. The process can involve manually extracting data from PDFs and other untransferrable files.
Accuracy is reinforced by dual-authentication and continual updating of evolutionary figures, such as interest rates that may evolve over time.
In some instances, cardholder agreements do not include standard metrics, or require an application to determine interest. In these cases, the agreements are excluded by default or sourced by call with the card issuer if critical to analysis.
The data is updated continually to include new data and new offers entering the market.
Cleaning includes the conversion of PDFs or other non-tabular files into spreadsheets for analysis.
The dataset is hosted natively offline and on hard drives inaccessible via internet channels.
Outliers do not impact raw data, only analysis. We use a conservative framework that eliminates outliers with a material impact on analytical metrics helpful to consumers. There are no aggregation weaknesses in the dataset as of publishing. We adjust all calculations to present the most accurate reality to consumers.
Noah Gomez (founder of Thick Credit) is a transatlantic professional and entrepreneur with 3+ years experience in consumer finance education. He also has 5+ years of experience in corporate finance, including debt financing, M&A, listing preparation, US GAAP and IFRS.
Thick Credit is not a credit repair organization, a credit conseling agency, or a debtor education providor. It does not act on your behalf to communicate with credit reporting agencies or provide pre-bankruptcy credit counseling and pre-discharge debtor education for bankruptcy.
©2024 Thick Credit, All right reserved.