The Data Analytics Blog

Our news and views relating to Data Analytics, Big Data, Machine Learning, and the world of Credit.

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[Infographic] Auditing Provisions: The Auditing Journey Over Time

August 17, 2018 at 11:54 AM

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Edwin Cross
Edwin Cross
Prior to joining Principa in December 2013, Edwin had 13 years’ consumer credit (credit cards, revolving credit and personal loans) experience in Barclays Bank and Standard Bank SA with 10 years’ specialised in credit risk management across South Africa and Europe in particular United Kingdom, Spain, Germany and Italy of which over 3 years with Chief Risk Officer accountabilities. Edwin is considered an expert across the full customer life cycle and has lead and implemented a number of highly successful credit, marketing, collections, scoring and provisioning initiatives. Since joining Principa, Edwin continued to successfully deliver risk-based and profit-based initiatives to key clients (specialised lenders, large retail banks and retailers). He holds a M.Comm degree from Stellenbosch University.

Latest Posts

Why A New Account Processing System Should Be A Priority For 2020

Recently Principa announced their partnership with UK-based Welcom Digital. Welcom Digital’s platform Financier is one of the leading account processing platforms. Principa is now the sales and delivery partner in South Africa for Financier. We speak to Principa’s Eric Hay – a technical specialist with over 25 years’ experience with credit systems include account processing systems – who has been now appointed technical delivery head for Financier.

  • 5 min read
  • November 11, 2019 at 2:59 PM

Africa’s Calling: Contact Centre Conference And Expo

We recently attended the Contact Centre Management Group (CCMG) Contact Centre Conference and Expo, themed Africa's Calling.

How Machine Learning Is Helping Call Centres Improve Their CX

The call centre world, unsurprisingly, ranks as one of the highest adopters of data analytics platforms year on year. This is largely due to the invaluable insights we gain through the analysis of thousands of calls received each day by the typical call centre. With speed being of the essence in making the right decision at the right time for each caller many call centres are turning to machine learning to automate their data analysis and make crucial customer experience decisions within seconds.