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eCredit's flexible credit management software enables credit professionals to quickly and easily implement
any credit scoring model, from the simplest rules-based to the most advanced statistical model. With eCredit,
there are no limits to the amount of value your organization can get out of credit scoring.
Implement unlimited credit scoring models with eCredit's flexible platform
As barriers to commercial credit scoring such as model accuracy, implementation costs and access to
the best technology are breaking down, many companies are just beginning to reap the benefits of
credit scoring. These benefits include increased efficiencies via reduced reliance on manual
review, better documentation capabilities, reduced DSO, and improved cash flow. In addition,
commercial credit scoring models are becoming more accurate, less expensive, and easier to
implement. eCredit is the most flexible platform available for implementing a wide array of
scoring models, from the most straightforward, home-grown judgment/rules-based models, to the
most sophisticated statistically-validated models. There are no limitations to the type of model
that you can use, if a scoring model is built, then it can be implemented. With eCredit, there
is no limit to the amount of value that your organization can derive from credit scoring.
Automatically score accounts using your own policies and rules
If your scoring requirements are simple, eCredit offers a number of options to get you up and
running with credit scoring quickly and painlessly. eCredit will enable your organization to
apply its own unique credit policy and "if, then" rules to the automated credit scoring process
and can work with you to develop rules-based models and/or provide standard scorecard templates.
Best of all, scorecard maintenance is easy with eCredit and requires no involvement from IT. You
can add, delete or modify an unlimited number of scorecards by adjusting criteria and factor
weights on-the-fly.
eCredit is also fully-integrated with all the traditional data bureaus to deliver their off-the-shelf
scoring models such as Experian's Intelliscore. These data providers have thoroughly
documented and validated that these models consistently predict risk more accurately than subjective
credit analysis. eCredit can also deliver reliable industry-specific scores from its own proprietary
database at a fraction of the cost of other providers.
Leverage statistical-based models for highest level of predictability
If your scoring requirements are more complex and sophisticated, eCredit can incorporate an unlimited
number of criteria such as payment histories, bank and trade references, credit agency ratings, and
financial statements and ratios into your scoring models. eCredit can also process a diverse array
of scoring models that use data from multiple sources, both domestic and international. If your
organization is ready to use a canned statistical-based model, eCredit is integrated with Moody's
KMV to deliver Expected Default Frequencies (EDFs) for both public and private companies. Already
in use at a majority of the largest U.S. commercial banks and a growing number of non-bank lenders,
including corporations, asset managers, hedge funds and insurance companies, EDFs are updated
daily on more than 30,000 public companies, and monthly on private companies. eCredit also can
pull in PredictiveMetrics Net30Score™ for estimating credit and collection risk. These
statistical-based models present a highly advanced decision-making system that will help your
organization manage DSO and write-offs.
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Improve Efficiencies
A key advantage of credit scoring is the ability to automate many low value-added tasks
for a high percentage of accounts.
Increase Sales & Customer Service
eCredit removes barriers to communication between sales & credit, helping organizations
increase revenues while simultaneously improving credit decision quality and overall process efficiency.
Accurately Predict Bad Debt Exposure
Scoring models can accurately predict bad debt exposure by assessing how risk classes
of customers historically go bad.
Drive Collections Strategies
Incorporating your credit risk score (collection recovery score) into your collection strategies
allows for more appropriate treatment of your accounts.
Proactive Risk Analysis
Automating the monthly, quarterly or annual scoring of your account base will allow credit
analysts to spend their time on exception handling and free them from the reviewing the
"no brainer" accounts.
Ensure Regulatory Compliance
Automating the credit analysis process with objective and consistent scoring helps in
Sarbanes-Oxley and internal audit compliance.
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