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Consuming data

Article
08 Oct 2018

With immediate access to available CCR data, brokers are already in a position to offer better terms for their clients.

Article
08 Oct 2018

Repayment History Information can provide a deeper insight into an individual's serviceability, helping brokers to match them to a suitable lender and loan quickly and take them out of the market sooner.

Article
08 Oct 2018

CCR provides brokers an opportunity to address customer pain points and offer more informed advice, helping the industry rebuild and strengthen relationships with customers.

Article
14 Aug 2018

As of July 2018, 40% of the retail credit market have supplied Comprehensive Credit Reporting (CCR) data to Equifax.

This infographic breaks down the attributes and benefits of data supplied to date.

Article
14 Aug 2018

As of July 2018, 15.3 million Australians are credit active. This infographic highlights trends in traditional negative reporting while CCR data is building such as:

  • Attributes of the credit active population
  • Types of credit activity including enquiries by industry and account type
  • How credit profiles vary by generation
Article
10 May 2018

CCR data will reveal a whole lot more for brokers, impacting the way they engage and service their customers.

Article
09 Nov 2017

As of October 2017, 27% of the retail credit market have supplied CCR data to Equifax. This infographic provides a pulse check on the industry’s transition to CCR.

Article
07 Nov 2017

As of October 2017, 15.2 million Australians were credit active. This infographic highlights trends in traditional negative reporting whilst CCR data is building.

Article
03 Aug 2017

There are a number of ways that lenders can lessen the potential uncertainty of performance of various CCR characteristics when applied to their portfolios.

Article
13 Jul 2017

One of the challenges facing many organisations that wish to transition from a negative reporting environment to Comprehensive Credit Reporting (CCR) is how to introduce the new information without increasing the uncertainty of estimating future defaults and losses.

 

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