CMS Open Data Connectivity
CMS Open Data Connectivity is composed of
a series of sub-modules to easily integrate both external
and internal data. Through CMS's broker server (BAS),
CMS Open Data Connectivity provides a single point
for users to request data from external third-party
data sources. With data security a growing concern,
the BAS provides a single connection point for secured
requests and delivery of data from a wide variety
of data providers. Access data from credit agencies
and other third parties. For internal data interfaces,
CMS Open Data Connectivity provides the ability to
interface CCM to enterprise systems such as Oracle,
SAP, Peoplesoft, JD Edwards, Lawson, and other Oracle
or SQL based software, and in-house developed systems.
Data sources include:
CMS Financials (SEC filed and traded statements)
Net30Score predictive pay habit statistical score
D&B (including Batch)
Experian Net Connect
Equifax
S&P
Moody's
Moody's KMV
Bureau van Dijk (worldwide financials)
Coface
Rundt's Intelligence (country export risk ratings)
RMA (formerly Robert Morris Assoc.)
Oranda (currency)
Use ANY Credit Agency Rating
Internal Systems (AR, ERP, Risk, SQL, Oracle, Legacy)
CMS is flexible and is not tied to one source or
data provider. CMS' mission is to help the client
make the best possible decisions, not to sell our
data. Therefore, we are data source independent. Furthermore,
CMS empowers clients to see the whole picture in an
electronic credit file rather than having isolated
data islands.
Data Sold Directly By CMS
CMS Financials provides
unlimited access to SEC filed financial staments that
are available immediately after release. CMS Financials
gives you an advantage of downloading statements in
seconds while being timely and detailed.
Net30Score is a statistical-based
Pay Habit Prediction. This score can be blended into
Corporate Credit Manager's credit agency score and
overall score as well as used for credit line recommendations.
Data included with Corporate Credit Manager (no
extra fee)
The RMA database stands for Risk Management Associates
(formerly known as "Robert Morris Associates").
CMS provide users as part of the license with the
"Annual Statement Study: Financial Ratio Benchmarks"
with the Corporate Credit Manager (CCM) for peer group
financial analysis by industry and size. This data
is included at install and annually it is updated
by CMS.
Oanda Currency provides comprehensive currency exchange
rates. These rates are available to be updated monthly
over the internet (through CMS' BAS server) as part
of the license at no extra fee.
Additional Information
CCM goes well beyond your in-house systems by collecting
additional credit check information (including financial
statements), analyzing and scoring your credit information
using best practices, providing credit approval recommendations,
and generating reports to manage customers and your
portfolio.
By having flexibility to use multiple sources in
your scoring system, you are not dependent on one
source that may not completely cover your entire customer
base or may not provide you with current or sufficient
information. Decisions are only as good as the information
they are based. Therefore, you will want to use all
the different sources of information you use today
at a minimum. In many cases, automated techniques
enable you to collect more information at 50-75% less
cost. Thereby it enables you to get more information
on a timelier basis.
In addition, generally credit professionals review
information from many disparate sources in a time-consuming
manual process fraught with inconsistent decision
processes. Even if you have a basic scoring model
reviewing financials, credit professionals will also
be looking at AR, application forms, and agency reports
such as D&B and Experian to name a few sources
manually. Some information may be in paper format
and can not be easily shared with others across the
organization. Information may also be in multiple
electronic systems and requires the users to jump
around into multiple systems. Then the credit professional
must bring the information together mentally for a
decision.
The first place you can start is with AR. You can
score pay history tracked in your AR system for existing
accounts since it is highly predictive of future payment
history. This is information we all look at but generally
is manually reviewed and inconsistently interpreted.
Hence, importing key AR data into your scoring system
is beneficial for consistency and ensuring this crucial
element is always used.
Reviewing financials when available is also valuable.
Bringing in detailed financials from the SEC through
CMS Financials can provide greater insight than summary
financials commonly found. You will also want to look
at financials for private firms, especially for larger
or riskier credit lines. In addition, you may want
to look at financials of non-US firms if you have
global sales.
You will also want to incorporate information from
multiple credit agency sources such as D&B, Experian,
S&P, Moody's, Fitch, Coface, Equifax, etc. for
better coverage or confidence. Some credit agencies
may have strengths based on size or region of the
world. Moreover, industry specific agencies or industry
trade groups can provide more targeted insight and
could be cheaper.