February Standards Release Announcement

Standards Release Announcement

Posted on: February 16, 2021

LIXI is pleased to announce new updates to the LIXI standards, published on the 15th of February.

The Standards updates are available via the below links. View all the downloads here.

  • Credit Application for Australia (CAL 2.6.35)
  • Credit Decision for Australia (CDA 2.0.33)
  • Credit Application for¬†New Zealand (CNZ 2.1.8)
  • Documents Preparation and Settlements (DAS 2.2.35)
  • Serviceability (SVC 2.0.23)
  • Lenders Mortgage Insurance (LMI 0.1.6-RFC)
  • Valuations (VAL 0.1.6-RFC)
  • Account Creation (ACC 2.0.2)

  • Automation Update

    Mortgage origination takes place in a complicated and ever-changing ecosystem which requires automation to operate effectively. Without automation, you run the risk of building a digital veneer rather than a digital mortgage.

    The automation that you can embed using LIXI2 can help you develop and maintain data integrations at a significantly lower cost and with greater agility than with proprietary or LIXI1 integrations. Our recent blogs demonstrate how to easily perform a number of useful tasks within your CI/CD environments that would previously have involved substantial manual effort:

  • fetch the latest standards, fetch a library of test messages, and validate the test messages against the latest standards (see blog post here);
  • gain confidence in your regression tests by performing sample coverage tests to ensure that your test cases are sufficiently broad;
  • fetch a library of business rules and validate all the messages against all these rules;
  • generate your own business rules from external data sources and test a set of samples;
  • customise your schema to eliminate unnecessary items using our customisation by restriction framework;
  • generate an XML viewer & editor that embeds all the documentation and these rules so developers and BA's can immediately work with messages;
  • generate classes based on the customised schemas for C#.NET, Java and Python.

  • All these help you to integrate a "test early, test often" approach to your data integrations, shifting the discovery of errors as early as possible, and lowering the cost of addressing the errors. These are just the beginning - our community is developing and sharing more of these ideas and frameworks all the time! The power of a large community using a suite of collaborative industry standards is really starting to demonstrate what plug-and-play can look like.

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