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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.