Success Stories

 

ANZ Bank works with Bryte and Amazon Web Services to unlock new revenue opportunities for Institutional Banking 

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“We initially engaged Bryte for Amazon S3 and Redshift integration but quickly expanded the engagement to have them configure our entire setup. Their knowledge and advice goes beyond just AWS and integration, and the fact that they partner with AWS professional services during the project adds to their credibility. Project-wise, we did a quick and cost-effective run and our solution was up and running within the agreed timeframes. Communication was clear and constant along each step of the way which made our work together with the Bryte team really enjoyable.”

– Arnaud Cherval 
Digital Platform Manager
ANZ Bank

About ANZ Bank 

 

ANZ is one of the 5 largest listed companies in Australia and number one bank in New Zealand with market capitalisation of AU$93.4b and total assets of A$896.5 billion as at 31 March 2017. ANZ operates in 34 markets across Australia, New Zealand, Asia, Pacific, Europe, America and the Middle East. A staff of ~46,000 serve retail, commercial and institutional customers through consumer and corporate offerings in core markets, and regional trade and capital flows across the region.

 

The need to capitalise on Trading & Revenue opportunities

 

 ANZ Institutional Banking analyses Terabytes of data to develop lists of recommended revenue opportunities for Bankers. Large amounts of market and Trading data has to be be analysed with complex business logic to identify the best revenue opportunities. 

In the fast paced and rapidly evolving world of finance, where time to insight and action is critical, ANZ’s team worked with Bryte to leverage Amazon Web Services performance and scale to process, analyse and produce valuable insights across high volumes of data. 

The solution was designed to power ANZ’s high performance Market Analysis and Predictive Analytics engine, and delivered up-to 10x faster time to insight across the same datasets and business logic, compared to the existing on-premise alternatives.  

 



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