About Target Score Simulator

Target Score Simulator

The Target Score Simulator is an innovative product allowing you to enter a target score and based on credit data will provide a plan to achieve your goal.

The Target Score Simulator, using Point Deduction Technology®, analyzes your credit data and creates a list of recommendations. This information allows you to build a plan enabling you to capture and/or build points in the fastest, easiest, and most economical way.

It's important to follow the necessary recommendations in order to maximize your credit.

What is Point Deduction Technology®?

CredLogix is a software company that owns Point Deduction Technology® which is used to analyze your credit data. Credit scores range from 350 to 850 leaving the possibility of capturing up to 500 points.

The software recognizes many factors used in credit scoring and assigns a point deduction number per item on a credit report. The assigned numbers will range from 0 to 100+ depending on the type of accounts reported.

The analysis separates the short and long term point deductions, posting recommendations to recover the necessary points to unlock your Credit DNA.

Untested Scoring Formulas

Even if all credit data regarding consumers held at credit repositories were accurate, complete, and current, there would be significant concerns about the fairness of automated credit scoring programs. Converting the complex and often conflicting information contained in credit reports into a numerical shorthand is a complex process, and requires a significant number of interpretive decisions to be made at the design level. From determining the relative influence of various credit-related behaviors, to the process used to evaluate inconsistent information, there is a great potential for variance among scoring system designs.

ScoreNavigator's software analyzes each tradeline from all three credit bureaus: Equifax, Experian, and Transunion, to determine the differences and similarities on your credit file. ScoreNavigator will provide you with a credit analysis, and an action plan to help manage your credit, based on the highest risk factor scoring module.

Inaccurate Credit Reports

A 1998 study by the Public Interest Research Group found that 29% of credit reports contained errors that could result in the denial of credit (defined as false delinquencies, or reports listing accounts or public records that did not belong to the consumer). The study also found that 41% of reports had incorrect demographic identifying information, and 20% were missing major credit cards, loans, or mortgages. In total, 70% of reports contained an error of some kind.

Accounts that had never been late, and which have great significance for determining a credit score, were omitted with extremely high frequency. Omitted revolving accounts with no derogatory information were noted on the largest number of consumer files. Nearly eight out of ten files (78.4%) were missing a revolving account in good standing. In addition, one file out of three (33.3%) was missing a mortgage account that had never been late, and two files out of three (66.7%) were missing another type of installment account that had never been paid late. Other accounts with no derogatory information, such as non-revolving credit cards, were missing on 15.7% of all files.

ScoreNavigator's software identifies where most errors occur on your credit file and will correspond with the creditors and credit bureaus to resolve any reporting descrepancies.



What is a Credit Score?

Your Credit Score is a number generated by a mathematical Algorithm - An Algorithm is defined as a set of rules for solving a problem in a finite (gathering of possibilities) number of steps, as for finding the greatest common divisor.

Fair Isaac Corp. - FICO™ built the most commonly used Algorithm based on credit data provided to the major credit bureaus, Transunion, Equifax, and Experian. The data comes from creditors on tens of millions of people. Your credit data is cross referenced to the tens of millions of peoples credit data and a number (credit score) is assigned. This number determines the probability on how likely you are to pay your bills on time.