Over the last couple of years we integrated our solutions within some of Australia’s most respected financial institutions.
Here are some of their stories:
Improving and maturing APRA reporting around predicting expected credit losses
Improving and maturing APRA reporting around predicting expected credit losses
In 2019, requirements around a new standard from the AASB came into full effect on bad and doubtful debt. Work completed by Queensland Country met the initial requirements by external auditors, however PwC noted a requirement to build and enhance the model into the future and to improve and mature their APRA reporting around credit recognition and measurement.
Neo-Analytics automated the ingestion, validation and modelling of their data using PliantTM, our cloud-based AI analytic tool, and achieved:
Neo Analytics is a proud member of the RegTech Association
Cookie | Duration | Description |
---|---|---|
cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |